International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Development of a Taguchi-based framework for optimizing two quality character...IJERA Editor
This document describes a framework developed using Taguchi methods to optimize two quality characteristics, surface roughness and angular accuracy, in wire electrical discharge machining (W-EDM) operations. An experiment was conducted using an L9 orthogonal array to investigate the effects of four controllable factors (pulse on time, feed rate, voltage, and wire tension), each at three levels, on the two response variables. The optimal settings identified were able to improve both surface roughness and angular accuracy, as confirmed through additional validation experiments. This research established a systematic approach for obtaining a single optimal parameter setting to maximize multiple quality characteristics simultaneously in machining applications.
This document analyzes the effect of different wire electrodes on the material removal rate (MRR) of an MS workpiece using wire electrical discharge machining (WEDM). Experiments were conducted using copper, brass, and zinc-coated brass wire electrodes at various levels of current and pulse duration. The results showed that MRR was highest with copper wire and decreased with brass and zinc-coated brass wires. MRR also decreased with increasing current but increased with longer pulse duration. Statistical analysis through ANOVA confirmed that the wire material and pulse duration significantly affected the MRR while current had a lesser effect.
Optimization of EDM Process of (Cu-W) EDM Electrodes on Different ProgressionIJERA Editor
This document summarizes previous research on optimizing EDM (electrical discharge machining) processes using different compositions of Cu-W electrodes. It discusses factors like material removal rate, tool wear rate, surface roughness, and how they are affected by machining parameters like discharge current, voltage, pulse-on time, duty cycle and flushing pressure. The document reviews several past studies that investigated these relationships and optimized the EDM process for different materials. It provides figures from some of these past studies to illustrate their findings.
This document summarizes an investigation into the effects of machining parameters on the surface finish and material removal rate when machining an aluminum-copper alloy (AL6351) using wire electric discharge machining (WEDM). The study uses Taguchi's design of experiments method to analyze the effects of pulse on-time, pulse off-time, and peak current. Sixteen experiments were conducted and the material removal rate and surface roughness were measured. The results were analyzed using ANOVA to determine the most significant parameters for improving surface finish and removal rate. The goal of the research was to optimize the WEDM process for machining AL6351 alloy.
Optimization of Cutting Rate for EN 1010 Low Alloy Steel on WEDM Using Respon...IJAEMSJORNAL
The document describes an experiment to optimize cutting rate (CR) when machining EN 1010 low alloy steel using wire electric discharge machining (WEDM). Central composite design was used to plan experiments varying pulse on time, pulse off time, peak current, and servo voltage. 21 experiments were conducted and the average CR was measured for each. Response surface methodology was applied to develop a model relating the process parameters to CR. Analysis of variance showed the quadratic model adequately described the relationship with an R2 of 0.970641. An empirical equation was derived to predict optimal CR based on settings of the four process parameters.
Wire electrical discharge machining (WEDM) is a specialized thermal machining process
capable of accurately machining parts of hard materials with complex shapes. Response surface
methodology (RSM) with central composite design is selected for experimentation. In the present
work, four factors are taken as input parameters, and the effect of these parameters on MRR are
studied. The influence of the input parameters on response in WEDM process has been examined.
The input parameters are Pulse on time (Ton), Pulse off time (Toff), Servo voltage (SV) and peak
current (IP). The experiments have been performed on high chromium high carbon steel with a wire
of diameter 0.2 mm and the obtained data has been analyzed with the help of RSM using design
expert software. The work piece material was a high carbon high chromium (HCHCr) die steel with
excellent wear resistance, hot toughness and good thermal shock resistance. The experiments shows
that Pulse on time (Ton), Pulse off time (Toff), Servo voltage (SV) and peak current (IP) influence
MRR. Results show that machining speed increases with increase in the pulse on-time and the pulse
off-time increases as the number of discharges within given period of time decreases. Moreover,
there is not much influence of servo voltage on MRR and it increases very slightly with increase in
peak current. Also, as the Ton increases the MRR increases and as Toff increases MRR decreases.
This is because as Ton increases number of sparks per unit time increases and as Toff increases the
sparks per unit time decreases.
A Literature Review on Effect of Machining Parameters in Wire - EDMijsrd.com
The recent upgradation of newer and harder materials has made the machining task in WEDM quite challenging. Thus for the optimum use of all the resources it is essential to make the optimum use of parameters to get the best output to increase the productivity. Advances in technology have impacted with an increased cutting speed and tight tolerances in WEDM. This paper reviews the various notable works in field of WEDM and magnifies on effect of machining parameters on MRR, kerf width and surface roughness.
Optimization of Surface Roughness for EN 1010 Low Alloy Steel on WEDM Using R...IJAEMSJORNAL
This document describes research into optimizing the surface roughness of EN 1010 low alloy steel using wire electrical discharge machining (WEDM). Experiments were conducted using a central composite design to investigate the effects of four process parameters (pulse on time, pulse off time, peak current, and servo voltage) on surface roughness. Analysis of variance was used to identify significant parameters and develop a mathematical model relating the parameters to surface roughness. The model achieved a good fit to the data and can be used to determine the optimal parameter settings that minimize surface roughness.
Development of a Taguchi-based framework for optimizing two quality character...IJERA Editor
This document describes a framework developed using Taguchi methods to optimize two quality characteristics, surface roughness and angular accuracy, in wire electrical discharge machining (W-EDM) operations. An experiment was conducted using an L9 orthogonal array to investigate the effects of four controllable factors (pulse on time, feed rate, voltage, and wire tension), each at three levels, on the two response variables. The optimal settings identified were able to improve both surface roughness and angular accuracy, as confirmed through additional validation experiments. This research established a systematic approach for obtaining a single optimal parameter setting to maximize multiple quality characteristics simultaneously in machining applications.
This document analyzes the effect of different wire electrodes on the material removal rate (MRR) of an MS workpiece using wire electrical discharge machining (WEDM). Experiments were conducted using copper, brass, and zinc-coated brass wire electrodes at various levels of current and pulse duration. The results showed that MRR was highest with copper wire and decreased with brass and zinc-coated brass wires. MRR also decreased with increasing current but increased with longer pulse duration. Statistical analysis through ANOVA confirmed that the wire material and pulse duration significantly affected the MRR while current had a lesser effect.
Optimization of EDM Process of (Cu-W) EDM Electrodes on Different ProgressionIJERA Editor
This document summarizes previous research on optimizing EDM (electrical discharge machining) processes using different compositions of Cu-W electrodes. It discusses factors like material removal rate, tool wear rate, surface roughness, and how they are affected by machining parameters like discharge current, voltage, pulse-on time, duty cycle and flushing pressure. The document reviews several past studies that investigated these relationships and optimized the EDM process for different materials. It provides figures from some of these past studies to illustrate their findings.
This document summarizes an investigation into the effects of machining parameters on the surface finish and material removal rate when machining an aluminum-copper alloy (AL6351) using wire electric discharge machining (WEDM). The study uses Taguchi's design of experiments method to analyze the effects of pulse on-time, pulse off-time, and peak current. Sixteen experiments were conducted and the material removal rate and surface roughness were measured. The results were analyzed using ANOVA to determine the most significant parameters for improving surface finish and removal rate. The goal of the research was to optimize the WEDM process for machining AL6351 alloy.
Optimization of Cutting Rate for EN 1010 Low Alloy Steel on WEDM Using Respon...IJAEMSJORNAL
The document describes an experiment to optimize cutting rate (CR) when machining EN 1010 low alloy steel using wire electric discharge machining (WEDM). Central composite design was used to plan experiments varying pulse on time, pulse off time, peak current, and servo voltage. 21 experiments were conducted and the average CR was measured for each. Response surface methodology was applied to develop a model relating the process parameters to CR. Analysis of variance showed the quadratic model adequately described the relationship with an R2 of 0.970641. An empirical equation was derived to predict optimal CR based on settings of the four process parameters.
Wire electrical discharge machining (WEDM) is a specialized thermal machining process
capable of accurately machining parts of hard materials with complex shapes. Response surface
methodology (RSM) with central composite design is selected for experimentation. In the present
work, four factors are taken as input parameters, and the effect of these parameters on MRR are
studied. The influence of the input parameters on response in WEDM process has been examined.
The input parameters are Pulse on time (Ton), Pulse off time (Toff), Servo voltage (SV) and peak
current (IP). The experiments have been performed on high chromium high carbon steel with a wire
of diameter 0.2 mm and the obtained data has been analyzed with the help of RSM using design
expert software. The work piece material was a high carbon high chromium (HCHCr) die steel with
excellent wear resistance, hot toughness and good thermal shock resistance. The experiments shows
that Pulse on time (Ton), Pulse off time (Toff), Servo voltage (SV) and peak current (IP) influence
MRR. Results show that machining speed increases with increase in the pulse on-time and the pulse
off-time increases as the number of discharges within given period of time decreases. Moreover,
there is not much influence of servo voltage on MRR and it increases very slightly with increase in
peak current. Also, as the Ton increases the MRR increases and as Toff increases MRR decreases.
This is because as Ton increases number of sparks per unit time increases and as Toff increases the
sparks per unit time decreases.
A Literature Review on Effect of Machining Parameters in Wire - EDMijsrd.com
The recent upgradation of newer and harder materials has made the machining task in WEDM quite challenging. Thus for the optimum use of all the resources it is essential to make the optimum use of parameters to get the best output to increase the productivity. Advances in technology have impacted with an increased cutting speed and tight tolerances in WEDM. This paper reviews the various notable works in field of WEDM and magnifies on effect of machining parameters on MRR, kerf width and surface roughness.
Optimization of Surface Roughness for EN 1010 Low Alloy Steel on WEDM Using R...IJAEMSJORNAL
This document describes research into optimizing the surface roughness of EN 1010 low alloy steel using wire electrical discharge machining (WEDM). Experiments were conducted using a central composite design to investigate the effects of four process parameters (pulse on time, pulse off time, peak current, and servo voltage) on surface roughness. Analysis of variance was used to identify significant parameters and develop a mathematical model relating the parameters to surface roughness. The model achieved a good fit to the data and can be used to determine the optimal parameter settings that minimize surface roughness.
IRJET-Experimental Analysis Optimization of Process Parameters of Wire EDM on...IRJET Journal
This document analyzes the optimization of process parameters for wire electrical discharge machining (WEDM) of stainless steel 316L. It conducts experiments using different controllable factors like discharge current, pulse on/off time, and arc gap. Taguchi design of experiments is used to optimize for maximum material removal rate. Experiments are conducted using a copper tool on 316L stainless steel workpieces. The results are analyzed to determine the optimum parameter levels for achieving higher material removal rate and better surface finish quality during WEDM of 316L stainless steel.
Comparison of fuzzy logic and neural network for modelling surface roughness ...ijmech
Surface roughness is the main indicator of technological performances of a component for electrical discharge machining (EDM). EDM process of manganese alloyed cold-work tool steel was modelled. In this paper we used the fuzzy logic (FL) and neural network (NN) to predict the effect of machining variables (discharge current and pulse duration) on the surface roughness of manganese alloyed cold-work tool steel in order to improve and increase its range of application. The experiments are carried out on
manganese alloyed cold-work tool steel, processed with electrodes made of copper. The values of surface
roughness predicted by these models are then compared. All models show good agreement with experimental results. When compared to the NN and FL models, the NN model has shown a significant forecast improvement. The results indicate that the NN model is an effective algorithm to forecast the surface roughness in EDM.
Modeling of wedm process for complex shape using multilayer perceptron and re...eSAT Journals
Abstract
Wire cut electric discharge machining is the present days requirement in manufacturing the intricate and complex shape parts as required in the modern industrial products. The process being complex in nature for control over the machining process parameters. In the present study Multilayer perceptron (MLP) model is developed to predict the Material removal rate. The mathematical regression model is also developed by using Response Surface Methodology (RSM) to establish the relationshIp between the MRR and input process parameters like pulse on time (Ton), Pulse off time (Toff), Peak current (IP) and Servo voltage (SV). The predicted value by using MLP and RSM were compared with the experimental values. The average percentage errors are found to be 1.29 and -0.36527 for MLP and RSM respectively. It is observed that the predicted values with RSM are closer to experimental values as compared to MLP model. Key Words: WEDM, Response Surface Methodology, Neural Network, Multi Layer Perception, Material Removal Rate, Surface Roughness
Evaluation of Optimal Parameters for Surface Roughness Using Single Objective...IJERA Editor
Medium carbon steel EN8 has a wide variety of applications in oil, gas and tool industries. It is most commonly
used where high tensile strength is required. In the present work, an attempt has been made to explore the effect
of machining parameters on Surface Roughness (Ra). Taguchi’s single objective optimization technique is used
to optimize the machining parameters in EDM for EN8 steel. For the experimentation Taguchi’s L27
Orthogonal array has been used. The input parameters selected are Pulse on time (PON), Pulse off time (POFF),
Wire tension (WT) and Wire feed (WF). From the Taguchi results, optimal combination of machining
parameters for Surface Roughness is found at Pulse-on time (PON) level 3(131μs), Pulse-off time (POFF) level 2
(58μs), Wire tension (WT) level 1(2 Kg-f) and Wire feed rate (WF) level 1(4m/min). ANOVA was used to find
the influence of machining parameters on Surface Roughness. From the results, it is found that wire feed rate
(WF) has high influence (F = 47.16) and Pulse-off time (TOFF) has very low influence (F = 1.57) in effecting the
Surface Roughness. Regression model for Surface Roughness has been prepared by using MINITAB-16
software. Experimental values and Regression values of Surface Roughness were compared and from the graph,
it is clear that both the values are very close to each other. Hence, Regression model prepared is accurate,
adequate and it can be used for the prediction of Surface Roughness.
This document summarizes a study that used response surface methodology and grey-Taguchi technique to model and optimize the wire electrical discharge machining (WEDM) process. Experiments were conducted varying 6 process parameters (discharge current, pulse duration, etc.) at 3 levels. Models were developed relating the responses of material removal rate, surface finish, and kerf to the parameters. Predicted data from the models were used in a Taguchi design to find the optimal parameter combination for maximizing material removal rate and surface finish while minimizing kerf.
Investigation on Optimization of Machining Parameters in Wire EDM using Taguc...ijsrd.com
In this paper, the parameters used in the cutting of Cemented Tungsten Carbide using wire electrical discharge machining (WEDM) with a Brass electrode was optimized using Taguchi method. Taguchi method is used to formulate the experimental layout and to analyze the effect of each parameter on the machining characteristics. Also it is used to predict the optimal choice for each parameter such as peak current, voltage, and pulse duration and interval time. It was found that these parameters have significant influence on machining characteristics such as Metal Removal Rate (MRR) and Surface Roughness (SR). The result of the work reveals that, the peak current significantly affects the Surface Roughness (SR) and the pulse duration mainly affects the Metal Removal Rate (MRR).
This document discusses using Grey relational analysis to optimize the parameters in rotary electrical discharge machining (EDM) of P20 steel. Experiments were conducted using an L18 orthogonal array to investigate the effects of workpiece polarity, discharge current, pulse on and off times, and tool rotational speed on material removal rate, tool wear rate, and surface roughness. Response tables and graphs were analyzed to determine the optimal parameter levels that maximize material removal rate while minimizing tool wear rate and surface roughness. Confirmation experiments validated the optimal results, demonstrating that Grey relational analysis is an effective technique for optimizing EDM process parameters.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
The document discusses a study on the effect of electrical discharge machining (EDM) parameters on high carbon-chromium steel. Central composite design was used to conduct experiments varying pulse on time, duty cycle, current, voltage gap, and pressure. Response variables of material removal rate, electrode wear rate, and surface roughness were analyzed. For material removal rate, the linear model best fit the data. Interaction effects best modeled electrode wear rate, with some parameters having high impact. The interaction model also best fit surface roughness data. Overall, the study used statistical methods to develop models relating EDM parameters to response variables for high carbon-chromium steel EDM.
Optimization of machining parameters in edm of cfrp composite using taguchi t...IAEME Publication
1. The document summarizes a study that used Taguchi methods to optimize machining parameters for electrical discharge machining (EDM) of carbon fiber reinforced plastic (CFRP) composite material.
2. The study investigated the effects of gap voltage, discharge current, and pulse-on time on surface roughness. Experiments were conducted using an L9 orthogonal array.
3. Analysis of variance (ANOVA) and signal-to-noise ratios were used to analyze the results. It was found that discharge current had the most significant influence on surface roughness, and confirmation experiments validated the optimum parameters identified.
The document presents a mathematical modeling and analysis of the influence of process parameters on material removal rate (MRR) during electrical discharge machining (EDM) of stainless steel 304. Experiments were conducted to determine the effects of peak current, pulse on time, and pulse off time on MRR. Using Taguchi methods, an optimal combination of parameters was identified to achieve maximum MRR. Analysis of variance confirmed the significant effects of the parameters on MRR. Regression analysis was then used to develop a second order full quadratic mathematical model relating MRR to the process parameters. The model was found to have acceptable accuracy in predicting response values based on its R2 and adjusted R2 values. Interaction effects between the parameters were also studied.
This paper discuss of literature review of EDM and ANNOVA Technology used in on CNC. Today CNC technology has major contribution in i ndustries. CNC machines are main platform in the contribution of good quality products in industries. Basically CNC machines are automated operating machines which are based on code letters,numbers and special characters. The numerical data required for manufacturin g a part provided by machine is called CNC (Computer Numerical Controlled). To remain successful in today�s competitive market,the manufacturers should rely on their Engineer s and production professionals for quick and effective manufacturing setup and also to achie ve Quality products. The machining process on a CNC Milling is programmed by speed,feed rate,and cutting depth,which are frequently determined based on the job s hop experiences However,the machine performance and the product characteristics are not guaranteed to be acceptable.
ANALYSIS AND STUDYTHE EFFECTSOFVARIOUS CONTROL FACTORS OF CNC-WIRE CUT EDMFOR...meijjournal
Wire electrical discharge machining (WEDM) is a non conventional machining process which is widely used in machining of conductive materials.The applications of WEDM are in automobiles, aero-space, medical instruments, tool and die industries. in the present study analysis of effect of various control factors like Ton,Toff,Sv,Ip,Wf,Wt on checking the cutting rate of S7 steel is studied by using wire cut EDM and one factor time approach.S7 steels contain less carbon and higher toughness than the high carbon types that are more wear resistant. Shock resistant steels are used where heavy cutting or forming operations is required and chipping or breakage of high-carbon wear-resistant steels is a problem. The other big advantage of this study is to select the range of significant control factors for final experimentation.
Study of surface roughness for discontinuous ultrasonic vibration assisted el...eSAT Journals
Abstract The objective of this paper is to study the effects of response parameters on the performance characteristics in the Ultrasonic vibration Assisted Electric Discharge Machining (UEDM) Process. Response Surface Methodology (RSM) is used to investigate the effect of amplitude of vibration, peak current, pulse on-time, machining time and flushing pressure. To study the proposed second order polynomial model for surface roughness (SR), a Central Composite Design (CCD) is used for the estimation of the model coefficients of five factors, which are believed to influence the SR in UEDM process. Experiments are conducted on Aluminum alloy 6063 with copper electrode. The response is modeled on experimental data by using RSM. The separable influence of individual machining parameters and the interaction between these parameters are also investigated by using analysis of variance (ANOVA). It is found that amplitude of vibration, peak current; pulse-on time, flushing pressure and most of their interactions have significant affect on SR. Keywords: Central Composite Design, SR, UEDM, RSM, Aluminum alloy (Al6063)
Optimization of MRR and SR by employing Taguchis and ANOVA method in EDMIRJET Journal
The document describes research into optimizing material removal rate (MRR) and surface roughness (SR) in electric discharge machining (EDM). Experiments were conducted with four machining parameters (discharge current, source voltage, pulse-on time, and pulse-off time) at different levels using a Taguchi design of experiments approach. Analysis of variance (ANOVA) found that discharge current contributed most to MRR at 33.33%, while pulse-on time contributed most to SR at 30.62%. The study aims to apply Taguchi and ANOVA methods to optimize MRR and SR in EDM.
THE EFFECTS OF MACHINING PARAMETERS ON SURFACE ROUGHNESS OF MATERIAL EN-31 IN...ijiert bestjournal
The paper represent the work done for making mathematical models fo r analysis of the effects of machining parameters on the performance characteristics in EDM process of Alloy steel (EN-31). The mathematical models are developed using the response surface methodology (RSM) to explai n the influences of machining parameters on the performance characteristics in the EDM process.
Modeling and optimization of edm process parameters a reviewIAEME Publication
This document provides a review of research on modeling and optimization of electrical discharge machining (EDM) process parameters. It summarizes 22 research papers that developed mathematical models and applied optimization techniques like response surface methodology, Taguchi method, and genetic algorithms to determine optimal process parameters. The parameters studied include current, pulse on/off time, voltage, and material/electrode properties. The goals of optimization were to improve material removal rate, reduce tool wear and surface roughness. Modeling helped establish relationships between input and output parameters for better process control and performance.
The document discusses using multiple methodologies - entropy weight measurement, Overall Evaluation Criteria (OEC), and fuzzy logic - to optimize process parameters during Electrical Discharge Machining (EDM) of an Al-24% SiCP metal matrix composite. Central composite design was used to conduct experiments varying peak current, pulse on time, and flushing pressure. Entropy weight calculated the importance of responses like material removal rate and surface roughness. OEC normalized the responses using the entropy weights. Fuzzy logic then generated a single index to evaluate performance. Analysis of variance and response surface methodology were used to analyze effects and develop a mathematical model of the parameters on the responses.
This document presents a new method for determining the true value of pi (π) based on the relationship between a square and its inscribed circle. The method involves calculating the areas of the square and circle, then the remaining corner area. Any π value used will resurrect in the decimal portion of the final calculation. Only one value - 3.14644660942 (derived from 14/4-2) - results in all decimals resurrecting accurately. Therefore, this "natural selection" method concludes this value is the true π.
Visual Quality for both Images and Display of Systems by Visual Enhancement u...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
This document summarizes a paper that discusses generating and transmitting electrical power through a Solar Power Satellite (SPS). An SPS would collect solar energy in space using solar cells on a large satellite. The energy would be converted to microwaves and transmitted to a rectenna on Earth, which would convert it back to electricity. Key aspects of an SPS system discussed are the components of the satellite including solar panels and microwave generators, transmitting power through microwaves, and receiving power on a rectenna on Earth. Safety considerations around human exposure to microwave power levels are also addressed.
Design of Neural Network Controller for Active Vibration control of Cantileve...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
IRJET-Experimental Analysis Optimization of Process Parameters of Wire EDM on...IRJET Journal
This document analyzes the optimization of process parameters for wire electrical discharge machining (WEDM) of stainless steel 316L. It conducts experiments using different controllable factors like discharge current, pulse on/off time, and arc gap. Taguchi design of experiments is used to optimize for maximum material removal rate. Experiments are conducted using a copper tool on 316L stainless steel workpieces. The results are analyzed to determine the optimum parameter levels for achieving higher material removal rate and better surface finish quality during WEDM of 316L stainless steel.
Comparison of fuzzy logic and neural network for modelling surface roughness ...ijmech
Surface roughness is the main indicator of technological performances of a component for electrical discharge machining (EDM). EDM process of manganese alloyed cold-work tool steel was modelled. In this paper we used the fuzzy logic (FL) and neural network (NN) to predict the effect of machining variables (discharge current and pulse duration) on the surface roughness of manganese alloyed cold-work tool steel in order to improve and increase its range of application. The experiments are carried out on
manganese alloyed cold-work tool steel, processed with electrodes made of copper. The values of surface
roughness predicted by these models are then compared. All models show good agreement with experimental results. When compared to the NN and FL models, the NN model has shown a significant forecast improvement. The results indicate that the NN model is an effective algorithm to forecast the surface roughness in EDM.
Modeling of wedm process for complex shape using multilayer perceptron and re...eSAT Journals
Abstract
Wire cut electric discharge machining is the present days requirement in manufacturing the intricate and complex shape parts as required in the modern industrial products. The process being complex in nature for control over the machining process parameters. In the present study Multilayer perceptron (MLP) model is developed to predict the Material removal rate. The mathematical regression model is also developed by using Response Surface Methodology (RSM) to establish the relationshIp between the MRR and input process parameters like pulse on time (Ton), Pulse off time (Toff), Peak current (IP) and Servo voltage (SV). The predicted value by using MLP and RSM were compared with the experimental values. The average percentage errors are found to be 1.29 and -0.36527 for MLP and RSM respectively. It is observed that the predicted values with RSM are closer to experimental values as compared to MLP model. Key Words: WEDM, Response Surface Methodology, Neural Network, Multi Layer Perception, Material Removal Rate, Surface Roughness
Evaluation of Optimal Parameters for Surface Roughness Using Single Objective...IJERA Editor
Medium carbon steel EN8 has a wide variety of applications in oil, gas and tool industries. It is most commonly
used where high tensile strength is required. In the present work, an attempt has been made to explore the effect
of machining parameters on Surface Roughness (Ra). Taguchi’s single objective optimization technique is used
to optimize the machining parameters in EDM for EN8 steel. For the experimentation Taguchi’s L27
Orthogonal array has been used. The input parameters selected are Pulse on time (PON), Pulse off time (POFF),
Wire tension (WT) and Wire feed (WF). From the Taguchi results, optimal combination of machining
parameters for Surface Roughness is found at Pulse-on time (PON) level 3(131μs), Pulse-off time (POFF) level 2
(58μs), Wire tension (WT) level 1(2 Kg-f) and Wire feed rate (WF) level 1(4m/min). ANOVA was used to find
the influence of machining parameters on Surface Roughness. From the results, it is found that wire feed rate
(WF) has high influence (F = 47.16) and Pulse-off time (TOFF) has very low influence (F = 1.57) in effecting the
Surface Roughness. Regression model for Surface Roughness has been prepared by using MINITAB-16
software. Experimental values and Regression values of Surface Roughness were compared and from the graph,
it is clear that both the values are very close to each other. Hence, Regression model prepared is accurate,
adequate and it can be used for the prediction of Surface Roughness.
This document summarizes a study that used response surface methodology and grey-Taguchi technique to model and optimize the wire electrical discharge machining (WEDM) process. Experiments were conducted varying 6 process parameters (discharge current, pulse duration, etc.) at 3 levels. Models were developed relating the responses of material removal rate, surface finish, and kerf to the parameters. Predicted data from the models were used in a Taguchi design to find the optimal parameter combination for maximizing material removal rate and surface finish while minimizing kerf.
Investigation on Optimization of Machining Parameters in Wire EDM using Taguc...ijsrd.com
In this paper, the parameters used in the cutting of Cemented Tungsten Carbide using wire electrical discharge machining (WEDM) with a Brass electrode was optimized using Taguchi method. Taguchi method is used to formulate the experimental layout and to analyze the effect of each parameter on the machining characteristics. Also it is used to predict the optimal choice for each parameter such as peak current, voltage, and pulse duration and interval time. It was found that these parameters have significant influence on machining characteristics such as Metal Removal Rate (MRR) and Surface Roughness (SR). The result of the work reveals that, the peak current significantly affects the Surface Roughness (SR) and the pulse duration mainly affects the Metal Removal Rate (MRR).
This document discusses using Grey relational analysis to optimize the parameters in rotary electrical discharge machining (EDM) of P20 steel. Experiments were conducted using an L18 orthogonal array to investigate the effects of workpiece polarity, discharge current, pulse on and off times, and tool rotational speed on material removal rate, tool wear rate, and surface roughness. Response tables and graphs were analyzed to determine the optimal parameter levels that maximize material removal rate while minimizing tool wear rate and surface roughness. Confirmation experiments validated the optimal results, demonstrating that Grey relational analysis is an effective technique for optimizing EDM process parameters.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
The document discusses a study on the effect of electrical discharge machining (EDM) parameters on high carbon-chromium steel. Central composite design was used to conduct experiments varying pulse on time, duty cycle, current, voltage gap, and pressure. Response variables of material removal rate, electrode wear rate, and surface roughness were analyzed. For material removal rate, the linear model best fit the data. Interaction effects best modeled electrode wear rate, with some parameters having high impact. The interaction model also best fit surface roughness data. Overall, the study used statistical methods to develop models relating EDM parameters to response variables for high carbon-chromium steel EDM.
Optimization of machining parameters in edm of cfrp composite using taguchi t...IAEME Publication
1. The document summarizes a study that used Taguchi methods to optimize machining parameters for electrical discharge machining (EDM) of carbon fiber reinforced plastic (CFRP) composite material.
2. The study investigated the effects of gap voltage, discharge current, and pulse-on time on surface roughness. Experiments were conducted using an L9 orthogonal array.
3. Analysis of variance (ANOVA) and signal-to-noise ratios were used to analyze the results. It was found that discharge current had the most significant influence on surface roughness, and confirmation experiments validated the optimum parameters identified.
The document presents a mathematical modeling and analysis of the influence of process parameters on material removal rate (MRR) during electrical discharge machining (EDM) of stainless steel 304. Experiments were conducted to determine the effects of peak current, pulse on time, and pulse off time on MRR. Using Taguchi methods, an optimal combination of parameters was identified to achieve maximum MRR. Analysis of variance confirmed the significant effects of the parameters on MRR. Regression analysis was then used to develop a second order full quadratic mathematical model relating MRR to the process parameters. The model was found to have acceptable accuracy in predicting response values based on its R2 and adjusted R2 values. Interaction effects between the parameters were also studied.
This paper discuss of literature review of EDM and ANNOVA Technology used in on CNC. Today CNC technology has major contribution in i ndustries. CNC machines are main platform in the contribution of good quality products in industries. Basically CNC machines are automated operating machines which are based on code letters,numbers and special characters. The numerical data required for manufacturin g a part provided by machine is called CNC (Computer Numerical Controlled). To remain successful in today�s competitive market,the manufacturers should rely on their Engineer s and production professionals for quick and effective manufacturing setup and also to achie ve Quality products. The machining process on a CNC Milling is programmed by speed,feed rate,and cutting depth,which are frequently determined based on the job s hop experiences However,the machine performance and the product characteristics are not guaranteed to be acceptable.
ANALYSIS AND STUDYTHE EFFECTSOFVARIOUS CONTROL FACTORS OF CNC-WIRE CUT EDMFOR...meijjournal
Wire electrical discharge machining (WEDM) is a non conventional machining process which is widely used in machining of conductive materials.The applications of WEDM are in automobiles, aero-space, medical instruments, tool and die industries. in the present study analysis of effect of various control factors like Ton,Toff,Sv,Ip,Wf,Wt on checking the cutting rate of S7 steel is studied by using wire cut EDM and one factor time approach.S7 steels contain less carbon and higher toughness than the high carbon types that are more wear resistant. Shock resistant steels are used where heavy cutting or forming operations is required and chipping or breakage of high-carbon wear-resistant steels is a problem. The other big advantage of this study is to select the range of significant control factors for final experimentation.
Study of surface roughness for discontinuous ultrasonic vibration assisted el...eSAT Journals
Abstract The objective of this paper is to study the effects of response parameters on the performance characteristics in the Ultrasonic vibration Assisted Electric Discharge Machining (UEDM) Process. Response Surface Methodology (RSM) is used to investigate the effect of amplitude of vibration, peak current, pulse on-time, machining time and flushing pressure. To study the proposed second order polynomial model for surface roughness (SR), a Central Composite Design (CCD) is used for the estimation of the model coefficients of five factors, which are believed to influence the SR in UEDM process. Experiments are conducted on Aluminum alloy 6063 with copper electrode. The response is modeled on experimental data by using RSM. The separable influence of individual machining parameters and the interaction between these parameters are also investigated by using analysis of variance (ANOVA). It is found that amplitude of vibration, peak current; pulse-on time, flushing pressure and most of their interactions have significant affect on SR. Keywords: Central Composite Design, SR, UEDM, RSM, Aluminum alloy (Al6063)
Optimization of MRR and SR by employing Taguchis and ANOVA method in EDMIRJET Journal
The document describes research into optimizing material removal rate (MRR) and surface roughness (SR) in electric discharge machining (EDM). Experiments were conducted with four machining parameters (discharge current, source voltage, pulse-on time, and pulse-off time) at different levels using a Taguchi design of experiments approach. Analysis of variance (ANOVA) found that discharge current contributed most to MRR at 33.33%, while pulse-on time contributed most to SR at 30.62%. The study aims to apply Taguchi and ANOVA methods to optimize MRR and SR in EDM.
THE EFFECTS OF MACHINING PARAMETERS ON SURFACE ROUGHNESS OF MATERIAL EN-31 IN...ijiert bestjournal
The paper represent the work done for making mathematical models fo r analysis of the effects of machining parameters on the performance characteristics in EDM process of Alloy steel (EN-31). The mathematical models are developed using the response surface methodology (RSM) to explai n the influences of machining parameters on the performance characteristics in the EDM process.
Modeling and optimization of edm process parameters a reviewIAEME Publication
This document provides a review of research on modeling and optimization of electrical discharge machining (EDM) process parameters. It summarizes 22 research papers that developed mathematical models and applied optimization techniques like response surface methodology, Taguchi method, and genetic algorithms to determine optimal process parameters. The parameters studied include current, pulse on/off time, voltage, and material/electrode properties. The goals of optimization were to improve material removal rate, reduce tool wear and surface roughness. Modeling helped establish relationships between input and output parameters for better process control and performance.
The document discusses using multiple methodologies - entropy weight measurement, Overall Evaluation Criteria (OEC), and fuzzy logic - to optimize process parameters during Electrical Discharge Machining (EDM) of an Al-24% SiCP metal matrix composite. Central composite design was used to conduct experiments varying peak current, pulse on time, and flushing pressure. Entropy weight calculated the importance of responses like material removal rate and surface roughness. OEC normalized the responses using the entropy weights. Fuzzy logic then generated a single index to evaluate performance. Analysis of variance and response surface methodology were used to analyze effects and develop a mathematical model of the parameters on the responses.
This document presents a new method for determining the true value of pi (π) based on the relationship between a square and its inscribed circle. The method involves calculating the areas of the square and circle, then the remaining corner area. Any π value used will resurrect in the decimal portion of the final calculation. Only one value - 3.14644660942 (derived from 14/4-2) - results in all decimals resurrecting accurately. Therefore, this "natural selection" method concludes this value is the true π.
Visual Quality for both Images and Display of Systems by Visual Enhancement u...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
This document summarizes a paper that discusses generating and transmitting electrical power through a Solar Power Satellite (SPS). An SPS would collect solar energy in space using solar cells on a large satellite. The energy would be converted to microwaves and transmitted to a rectenna on Earth, which would convert it back to electricity. Key aspects of an SPS system discussed are the components of the satellite including solar panels and microwave generators, transmitting power through microwaves, and receiving power on a rectenna on Earth. Safety considerations around human exposure to microwave power levels are also addressed.
Design of Neural Network Controller for Active Vibration control of Cantileve...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Low Cost Self-assistive Voice Controlled Technology for Disabled PeopleIJMER
The document describes a proposed voice-controlled wheelchair and home automation system for disabled individuals. The system uses a microcontroller connected to a voice recognition module to recognize spoken commands. The commands control the motion of an electric wheelchair and operation of home appliances like lights. The system was tested for accuracy of wheelchair motion and home appliance control in response to voice commands, achieving 80% accuracy in a silent environment. The goal is to allow disabled people to control a wheelchair and home devices independently using only their voice.
This document summarizes a technique called mixed single frequency delay line filtering that is proposed to optimize computational complexity and processing delay for multichannel audio crosstalk cancellation. The technique combines mixed filtering and single frequency delay line filtering. Mixed filtering allows all filtering operations to be performed in a single equation in the frequency domain, reducing computations. Single frequency delay line filtering partitions long filter impulse responses into shorter partitions that are filtered using overlap-save, reducing delay. The proposed technique partitions impulse responses and applies mixed filtering to further reduce computations over existing methods. It is shown to provide less computational complexity and delay than overlap-save filtering while maintaining performance for long impulse responses.
Deformation Analysis of a Triangular Mild Steel Plate Using CST as Finite Ele...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Fuzzy Rule Based Model for Optimal Reservoir ReleasesIJMER
The aim of this paper is to develop a Fuzzy Rule Based(FRB) model for obtaining the
optimal reservoir releases. The area considered for the study is ukai reservoir project. The data
considered are for the months of July, August, September and October for the years 2007 and 2011.
The inputs considered are inflow (MCM), Storage (MCM), Demand (MCM) and the Release (MCM) is
considered as output. Fuzzy logic, analysis is based on designing of if and then rules. Fuzzy logic
model can handle with various kinds of data regulations implication and defuzzification. The steps
involved in the development of the model include the construction of membership functions, creating
the Fuzzy rules, implication and deffuzification. The results obtained shows that the releases obtained
from the FRB model are satisfying the demand completely in all the four months, i.e. July, August,
September and October for the year 2007 and the same is observed for the year 2011. Also, a
significant amount of water is being saved, when the actual releases are compared with the releases
obtained from the FRB model.
A Novel Method for Blocking Misbehaving Users over Anonymizing NetworksIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Earthquake Resistant Design of Low-Rise Open Ground Storey Framed BuildingIJMER
This document discusses the earthquake resistant design of low-rise buildings with open ground stories (OGS). It aims to study the effect of infill wall stiffness and support conditions on the seismic behavior of OGS buildings. A 4-story reinforced concrete building located in seismic zone 5 of India is modeled with and without considering infill walls. Both linear and nonlinear analyses are performed. The results show that considering infill wall stiffness reduces seismic demands on ground story columns and beams compared to models without infills. A force amplification factor of 2.5 applied to the ground story in current standards is found to be too conservative for low-rise OGS buildings. Support conditions also influence the building response, with fixed supports resulting in greater period shifts
Big Bang–Big Crunch Optimization Algorithm for the Maximum Power Point Track...IJMER
This paper presents an intelligent control method for the maximum power point tracking (MPPT) of a
photovoltaic system under variable temperature and irradiance conditions. The Big Bang–Big Crunch (BB–BC)
optimization algorithm is a new optimization method that relies on the Big Bang and Big Crunch theory, one of the
theories of the evolution of the universe. In this paper, a Big Bang–Big Crunch algorithm is presented to meet the
maximum power operating point whatever the climatic conditions are from simulation results, it has been found that
BB–BC method is highly competitive for its better convergence performance.
This document summarizes a study on minimizing surface defects in bars and wire rods that originate from continuous cast billets. It describes a methodology developed to determine the origin of defects, which includes metallographic studies using etchants on samples from rolled products and billets. Common defects like pin holes and transverse cracks are analyzed, showing their appearance in billets and during rolling. Causes of pin holes are identified as internal oxidation from casting powder decomposition, and causes of transverse cracks include tensile stresses during casting or strengthening that lead to cracks, especially in corners. Solutions recommended involve optimizing casting powder distribution and secondary cooling to avoid temperature ranges that cause cracking.
Power Quality Enhancement in an Isolated Power System Using Series CompensationIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Study the Situation of Housing Social Quantitative and Qualitative Indicators...IJMER
Abstract:Housing indicators are fundamental factor and determine in descriptive, analysis and making decision for housing
which can lead to as outline in housing planning for maker decision and planner if housing indicators recognize and
understanding, it's study and analysis of way a applied and fundamental or basic research and correctly done with in plans.
Among housing indicators, social indicators are the most property fundamental factor of housing progress and goals.
The aim this article is to study the situation of the social quantitative and qualitative indicators of housing in rural areas of Ghachsaran Township.
The methodology used in this article is a combination of descriptive, analytical method and case study.
The results of this article in relation of housing social quantitative and qualitative indicators in rural areas of
Ghachsaran township within the years of 1996 to 2006 shows there are problems in terms of social quantitative indicators of
housing and unbelievable bad conditions (density of family per dwelling). But from view point of social qualitative indicators
of housing (infrastructure facilities and basic services of housing units and construction materials) in rural areas have had a
relative developing trend.
Therefore, one plan of housing is need of recognize, understanding and analysis of housing dimension and its effect.
In the among is necessary study of this indicators as one of the most important housing indicators in housing quality update
and their role in housing development planning and progress.
Keywords: Housing, Social Indicators, Quantitative and Qualitative Indicators, Rural Areas, Ghachsaran township.
Elemental composition of fine particulate matter from jeepney exhaust emissions in Manila, Philippines was analyzed using SEM/EDX. Particles were collected from 3 jeepneys of different ages. Hazardous elements like Co, Cr, Mn, Pb, Hg, Ni were detected in over 50% of particles. The oldest jeepney from 1980 contained the most hazardous elements like Pb and Hg in over 50% of particles. SEM images showed particles were mostly less than 2.5 μm in size and various shapes. Carbon was the major element detected across all jeepneys. The study characterized the first elemental composition of particulate matter from jeepney exhaust in the Philippines.
Resolution of human arm redundancy in point tasks by synthesizing two criteriaIJMER
The human arm is kinematically redundant in the task of pointing. As a result, multiple arm
configurations can be used to complete a pointing task in which the tip of the index finger is brought to a
preselected point in a 3D space. The authors have developed a four degrees of freedom (DOF)model of the
human arm with synthesis of two redundancy resolution criteria that were developed as an analytical tool
for studying the positioning tasks. The two criteria were: (1) minimizing the angular joint displacement
(Minimal Angular Displacement - MAD) and (2) averaging the limits of the shoulder joint range (Joint
Range Availability - JRA). As part of the experimental protocol conducted with ten subjects, the kinematics
of the human arm was acquired with a motion capturing system in a 3D space. The redundant joint angles
predicted by a equally weighted model synthesizing the MAD and JRA criteria resulted with a linear
correlation with the experimental data (slope=0.88; offset=1⁰; r
2=0.52). Given the experiment protocol,
individual criterion showed weaker correlation with experimental data (MAD slope=0.57, offset=14⁰,
r
2=0.36 or JRA slope=0.84, offset=-1⁰, r
2=0.45). Solving the inverse kinematics problem of articulated
redundant serials mechanism such as a human or a robotic arm has applications in fields of human-robot
interaction and wearable robotics, ergonomics, and computer graphics animation.
This document analyzes the properties of a Brazilian kaolinitic clay for potential use in drugs and cosmetics. Characterization of the clay sample showed it consists mainly of kaolinite clay with minor amounts of mica and quartz. Scanning electron microscopy revealed the kaolinite has a lamellar structure. The clay did not show swelling capacity but results indicate it has potential for use in cosmetics due to its white color and composition. Further purification and testing would be needed to ensure suitability for cosmetic or drug applications.
This document provides an overview of Turing machines and the Church-Turing thesis. It discusses how Turing machines were conceived of by Alan Turing as a hypothetical computing device and how they helped establish the limits of mechanical computation. It describes the key components of a Turing machine including the tape, head, state register, and finite table of instructions. It also discusses how Turing machines, lambda calculus, and recursive functions were shown to be equivalent, leading to the Church-Turing thesis which states that any function that can be calculated by an algorithm can be simulated on a Turing machine.
Computer-Aided Optimal Design and Finite Element Analysis of a Plain Milling ...IJMER
The document discusses the computer-aided optimal design and finite element analysis of a plain milling cutter. It describes modeling a plain milling cutter using CATIA software and analyzing it using ANSYS to determine stresses and deformations. The analysis is done at different cutting speeds to calculate stresses and compare them to theoretical values. The results show the model values are close to the theoretical stress values for the plain milling cutter.
Development of a Taguchi-based framework for optimizing two quality character...IJERA Editor
A framework based on Taguchi parameter design was developed and successfully demonstrated to optimize two
quality characteristics- surface roughness and angular accuracy in Wire Electrical Discharge Machining (WEDM)
process. An orthogonal array (OA)L9was used in the Taguchi experiment design for four controllable
factors, each with three levels. With one non-controllable factor investigated, 18 experiments were conducted in
the Taguchi-based experiment setting, compared to 3
4
(=81) parameter combination as required by a traditional
DOE setting. Conducted for the two response variables, Taguchi experiments from the case study gave the
optimal combination of pulse on time at 9µs (A1), feed rate at 35 in/min (B2), voltage at 8v (C2), and wire
tension at 165g (D3) for surface roughness optmization, and pulse on time at 13µs (A3), feed rate at 35 in/min
(B2), voltage at 8v (C2), and wire tension at 160g (D2) for angular accuracy optmization. This optimal parameter
setting combination was verified through a confirmation run that confirms the optimal quality responses of
126.1µin for surface roughness and 0.024º for angular accuracy. This research ultimately showed the dual
output variable improvement and the framework established itself as a means to solve similar problems in other
machining applications. The developed framework can serve as guidance for researchers to obtain multivariable
optimal setting in a systematic way.
THE EFFECT OF DIFFERENT WIRE ELECTRODES ON THE MRR OF MS WORKPIECE USING WEDM...IAEME Publication
Wire electrical discharge machining (WEDM) is a specialized thermal machining process which is capable of accurate machining of parts which have varying hardness, complex shapes and sharp edges that are hard to be machined by the traditional machining processes. . Predictions on the
Material Removal Rate of workpieces in WEDM have been reported in the past. In the present study an analysis has been done to evaluate the Material Removal Rate of MS workpiece using WEDM process with different types of wire electrodes.
ELECTRO CHEMICAL MACHINING AND ELECTRICAL DISCHARGE MACHINING PROCESSES MICRO...ijiert bestjournal
Nowadays,necessity of small components is a common trend. These requirements encourage the researcher s to develop very minutest size components to fulfill the demand. The manufact uring of these type of components is a difficult ob ligation and for that various machining methods are develop to manufacture such c omponents. In this article the Electro Chemical mac hining and Electrical Discharge Machining is reviewed. We tried to summar ize the work of various researchers. The study show s that this type of machining processes gives good alternative.
An Electrode Shape Configuration on the Performance of Die Sinking Electric D...IJERA Editor
Electrical discharge machining (EDM) is one of the non-traditional machining processes, based on thermo electric energy
between the work piece and an electrode. In this process, the material removal is occurred electro thermally by a series of
successive discrete discharges between electrode and the work piece. The parametric analysis of the EDM process by using
different electrode shapes has been carried out. This Research discusses the performance of die sinking EDM due to the
shape configuration of the electrode. The effect of electrode shapes configuration on the performance of die sinking electric
discharge machine has been carried out. The optimization of the parameters of the EDM machining has been carried out by
using the taguchi‟s method for design of experiments (DOE). In this research we have used taguchi‟s method for design of
experiments with three input parameters and their three levels of experiments. The dielectric used is kerosene diluted with
water. The objective of the analysis is to optimize the process parameters of EDM with the help of taguchi method and using
Minitab software.
Optimization of Electrical Discharge Machining Process Parameters using SCM42...IOSRJMCE
This document summarizes research that used response surface methodology to optimize the electrical discharge machining (EDM) process parameters when machining SCM420 low alloy steel. The researchers investigated the effects of peak current, pulse on time, and gap voltage on material removal rate (MRR) and surface roughness (Ra). They conducted experiments according to a central composite design and analyzed the results to develop mathematical models relating the process parameters to the output responses. The analysis found that peak current had the greatest influence on both MRR and Ra, with MRR increasing and Ra decreasing at higher peak current levels. Optimal values for the process parameters to achieve high MRR and low Ra were determined to be a peak current of 22 amps, pulse
Process Parameter Optimization of WEDM for AISI M2 & AISI H13 by Anova & Anal...IJERA Editor
The document summarizes a study on optimizing process parameters for wire electrical discharge machining (WEDM) of AISI M2 and AISI H13 steel alloys. Experiments were conducted using a Taguchi L16 orthogonal array with peak current, pulse on time, pulse off time, and workpiece material as parameters. Responses measured included material removal rate, surface roughness, kerf width, and spark gap. ANOVA showed peak current and pulse on time most significantly affected responses. For AISI M2, low peak current, short pulse on and off times minimized surface roughness and kerf width while maximizing material removal rate. For AISI H13, low peak current, long pulse on time
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document discusses using the Taguchi method to optimize WEDM parameters for machining EN 31 steel to achieve lower surface roughness. An experiment was conducted using an L9 orthogonal array to test different levels of pulse on time, pulse off time, gap voltage, and wire feed. Analysis of variance showed that pulse on time had the largest effect on surface roughness at 48.84%, followed by gap voltage at 36.81%. Confirmation experiments found that the optimized parameters of 4μs pulse on time, 6μs pulse off time, 40V gap voltage, and 4mm/min wire feed achieved a predicted surface roughness with only 11.5% error, validating the model. The Taguchi method was able to effectively optimize
Parametric optimization for cutting speed – a statistical regression modeling...IAEME Publication
This document presents an experimental study to optimize cutting speed in wire electrical discharge machining (WEDM) of EN-31 alloy steel. Experiments were conducted using a L27 orthogonal array to investigate the effects of eight machining parameters (pulse on time, pulse off time, peak current, spark gap voltage, wire feed rate, wire tension, servo feed, and dielectric flushing pressure) on cutting speed. Analysis of variance was used to determine the most significant parameters, and the optimal levels for maximizing cutting speed were found to be pulse on time at 128 μs, pulse off time at 53 μs, peak current at 230 A, spark gap voltage at 20 V, wire feed rate at 4 m/min, wire tension at
Optimization of Process Parameters of Powder Mixed Wire-cut Electric Discharg...IRJET Journal
This document summarizes an experiment conducted to optimize the process parameters of powder mixed wire-cut electric discharge machining (PMWEDM) on NIMONIC 90 alloy. The experiment uses a Taguchi L27 orthogonal array to investigate the effects of pulse on time, pulse off time, servo voltage, wire feed rate, and powder concentration on responses like kerf width, material removal rate, and surface roughness. Grey relational analysis is also used for multi-objective optimization. The results show that using the optimized parameters from Taguchi and grey relational analysis can reduce kerf width by 3.27% and surface roughness by 21.85%, while increasing material removal rate.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Influence of process parameters on MRR in EDM of AISI D2 Steel: a RSM approachMohan Kumar Pradhan
Response Surface Methodology (RSM) is used to investigate the
effect of three controllable input variables namely: discharge current, pulse duration,
and pulse off time on material removal rate (MRR) in EDM process. To study the
proposed second-order polynomial model for MRR, a central composite design is
used to estimation the model coefficients of the three factors, which are believed to
influence the MRR in EDM process. Experiments were conducted on AISI D2 tool
steel with copper electrode. The response is modeled using RSM on the experimental
data. The significant coefficients are obtained by performing analysis of variance
(ANOVA) at 5% level of significance. It is found that discharge current, pulse duration,
and pulse off time and few of their interactions have significant effect on the MRR.
The model sufficiency is very satisfactory as the coefficient of determination (R2) is
found to be 97.6%.
Modeling and Analysis of process parameters on Surface Roughness in EDM of AI...Mohan Kumar Pradhan
Response Surface Methodology (RSM)
is used to investigate the effect of four controllable input variables
namely: discharge current, pulse duration, pulse off time and applied
voltage Surface Roughness (SR) of on Electrical Discharge Machined
surface. To study the proposed second-order polynomial model for
SR, a Central Composite Design (CCD) is used to estimation the
model coefficients of the four input factors, which are alleged to
influence the SR in Electrical Discharge Machining (EDM) process.
Experiments were conducted on AISI D2 tool steel with copper
electrode. The response is modeled using RSM on experimental
data. The significant coefficients are obtained by performing Analysis
of Variance (ANOVA) at 5% level of significance. It is found that
discharge current, pulse duration, and pulse off time and few of their
interactions have significant effect on the SR. The model sufficiency
is very satisfactory as the Coefficient of Determination (R2) is found
to be 91.7% and adjusted R2-statistic (R2
adj) 89.6%.
Optimization of the Process Parameters of Wire Cut EDM - A ReviewIJSRD
The objective of this paper is to study the effect of different process parameter of wire electrical discharge machine (WEDM) process on the performance measures such as material removal rate (MRR), surface roughness, dimensional accuracy and kerf width. It is necessary to evaluate the factors that affect the productivity and efficiency of WEDM process. It will directly contribute to increase cutting speed and dimensional accuracy.
Parametric Optimization of Graphite Plate by WEDMIRJET Journal
This document summarizes a study that used the Taguchi method to optimize the wire electrical discharge machining (WEDM) process parameters for machining graphite plates. Experiments were conducted using a WEDM machine to cut graphite plates with a 0.25mm brass wire. The process parameters investigated were current, pulse on time, pulse off time, and wire tension at three levels each based on an L9 orthogonal array design of experiments. Responses measured were material removal rate and surface roughness. Analysis of variance and signal-to-noise ratio graphs identified optimal parameters as 5A current, 5μs pulse on time, 25μs pulse off time, and 10gm wire tension for maximum material removal rate, and
MODELING AND OPTIMIZATION OF EDM PROCESS PARAMETERS: A REVIEWIAEME Publication
Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes. EDM process is based on thermo electric energy between the work piece and an electrode. There are different input parameters which influence on the outputs such as MRR, TWR and SR.
Optimization is one of the techniques used in manufacturing sectors to arrive for the best manufacturing conditions, which is an essential need for industries towards manufacturing of quality products at lower cost.
Optimizing Process Parameters on SR and MRR of Steel by EDMIRJET Journal
This document summarizes an experiment that optimized process parameters for electric discharge machining (EDM) of steel to improve material removal rate (MRR) and surface roughness (SR). Stainless steel 316 samples were machined using a copper electrode. A pilot study tested different levels of discharge current, pulse on-time, pulse off-time, and dielectric pressure. Graphs showed that MRR increased with higher current due to increased spark intensity and melting/vaporization, while SR also increased with higher current. MRR decreased with longer pulse on-time due to a wider plasma channel. Based on the pilot study, a Taguchi L18 design of experiments was used to further test current, pulse on-time,
Similar to Optimization of WEDM Process Parameters on Titanium Alloy Using Taguchi Method (17)
A Study on Translucent Concrete Product and Its Properties by Using Optical F...IJMER
- Translucent concrete is a concrete based material with light-transferring properties,
obtained due to embedded light optical elements like Optical fibers used in concrete. Light is conducted
through the concrete from one end to the other. This results into a certain light pattern on the other
surface, depending on the fiber structure. Optical fibers transmit light so effectively that there is
virtually no loss of light conducted through the fibers. This paper deals with the modeling of such
translucent or transparent concrete blocks and panel and their usage and also the advantages it brings
in the field. The main purpose is to use sunlight as a light source to reduce the power consumption of
illumination and to use the optical fiber to sense the stress of structures and also use this concrete as an
architectural purpose of the building
Developing Cost Effective Automation for Cotton Seed DelintingIJMER
A low cost automation system for removal of lint from cottonseed is to be designed and
developed. The setup consists of stainless steel drum with stirrer in which cottonseeds having lint is mixed
with concentrated sulphuric acid. So lint will get burn. This lint free cottonseed treated with lime water to
neutralize acidic nature. After water washing this cottonseeds are used for agriculter purpose
Study & Testing Of Bio-Composite Material Based On Munja FibreIJMER
The incorporation of natural fibres such as munja fiber composites has gained
increasing applications both in many areas of Engineering and Technology. The aim of this study is to
evaluate mechanical properties such as flexural and tensile properties of reinforced epoxy composites.
This is mainly due to their applicable benefits as they are light weight and offer low cost compared to
synthetic fibre composites. Munja fibres recently have been a substitute material in many weight-critical
applications in areas such as aerospace, automotive and other high demanding industrial sectors. In
this study, natural munja fibre composites and munja/fibreglass hybrid composites were fabricated by a
combination of hand lay-up and cold-press methods. A new variety in munja fibre is the present work
the main aim of the work is to extract the neat fibre and is characterized for its flexural characteristics.
The composites are fabricated by reinforcing untreated and treated fibre and are tested for their
mechanical, properties strictly as per ASTM procedures.
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)IJMER
Hybrid engine is a combination of Stirling engine, IC engine and Electric motor. All these 3 are
connected together to a single shaft. The power source of the Stirling engine will be a Solar Panel. The aim of
this is to run the automobile using a Hybrid engine
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...IJMER
This document summarizes research on the fabrication and characterization of bio-composite materials using sunnhemp fibre. The document discusses how sunnhemp fibre was used to reinforce an epoxy matrix through hand lay-up methods. Various mechanical properties of the bio-composites were tested, including tensile, flexural, and impact properties. The results of the mechanical tests on the bio-composite specimens are presented. Potential applications of the sunnhemp fibre bio-composites are also suggested, such as in fall ceilings, partitions, packaging, automotive interiors, and toys.
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...IJMER
The Greenstone belts of Karnataka are enriched in BIFs in Dharwar craton, where Iron
formations are confined to the basin shelf, clearly separated from the deeper-water iron formation that
accumulated at the basin margin and flanking the marine basin. Geochemical data procured in terms of
major, trace and REE are plotted in various diagrams to interpret the genesis of BIFs. Al2O3, Fe2O3 (T),
TiO2, CaO, and SiO2 abundances and ratios show a wide variation. Ni, Co, Zr, Sc, V, Rb, Sr, U, Th,
ΣREE, La, Ce and Eu anomalies and their binary relationships indicate that wherever the terrigenous
component has increased, the concentration of elements of felsic such as Zr and Hf has gone up. Elevated
concentrations of Ni, Co and Sc are contributed by chlorite and other components characteristic of basic
volcanic debris. The data suggest that these formations were generated by chemical and clastic
sedimentary processes on a shallow shelf. During transgression, chemical precipitation took place at the
sediment-water interface, whereas at the time of regression. Iron ore formed with sedimentary structures
and textures in Kammatturu area, in a setting where the water column was oxygenated.
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...IJMER
In this paper, the mechanical characteristics of C45 medium carbon steel are investigated
under various working conditions. The main characteristic to be studied on this paper is impact toughness
of the material with different configurations and the experiment were carried out on charpy impact testing
equipment. This study reveals the ability of the material to absorb energy up to failure for various
specimen configurations under different heat treated conditions and the corresponding results were
compared with the analysis outcome
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...IJMER
Robot guns are being increasingly employed in automotive manufacturing to replace
risky jobs and also to increase productivity. Using a single robot for a single operation proves to be
expensive. Hence for cost optimization, multiple guns are mounted on a single robot and multiple
operations are performed. Robot Gun structure is an efficient way in which multiple welds can be done
simultaneously. However mounting several weld guns on a single structure induces a variety of
dynamic loads, especially during movement of the robot arm as it maneuvers to reach the weld
locations. The primary idea employed in this paper, is to model those dynamic loads as equivalent G
force loads in FEA. This approach will be on the conservative side, and will be saving time and
subsequently cost efficient. The approach of the paper is towards creating a standard operating
procedure when it comes to analysis of such structures, with emphasis on deploying various technical
aspects of FEA such as Non Linear Geometry, Multipoint Constraint Contact Algorithm, Multizone
meshing .
Static Analysis of Go-Kart Chassis by Analytical and Solid Works SimulationIJMER
This paper aims to do modelling, simulation and performing the static analysis of a go
kart chassis consisting of Circular beams. Modelling, simulations and analysis are performed using 3-D
modelling software i.e. Solid Works and ANSYS according to the rulebook provided by Indian Society of
New Era Engineers (ISNEE) for National Go Kart Championship (NGKC-14).The maximum deflection is
determined by performing static analysis. Computed results are then compared to analytical calculation,
where it is found that the location of maximum deflection agrees well with theoretical approximation but
varies on magnitude aspect.
In récent year various vehicle introduced in market but due to limitation in
carbon émission and BS Séries limitd speed availability vehicle in the market and causing of
environnent pollution over few year There is need to decrease dependancy on fuel vehicle.
bicycle is to be modified for optional in the future To implement new technique using change in
pedal assembly and variable speed gearbox such as planetary gear optimise speed of vehicle
with variable speed ratio.To increase the efficiency of bicycle for confortable drive and to
reduce torque appli éd on bicycle. we introduced epicyclic gear box in which transmission done
throgh Chain Drive (i.e. Sprocket )to rear wheel with help of Epicyclical gear Box to give
number of différent Speed during driving.To reduce torque requirent in the cycle with change in
the pedal mechanism
Integration of Struts & Spring & Hibernate for Enterprise ApplicationsIJMER
This document discusses integrating the Spring, Struts, and Hibernate frameworks to develop enterprise applications. It provides an overview of each framework and their features. The Spring Framework is a lightweight, modular framework that allows for inversion of control and aspect-oriented programming. It can be used to develop any or all tiers of an application. The document proposes an architecture for an e-commerce website that integrates these three frameworks, with Spring handling the business layer, Struts the presentation layer, and Hibernate the data access layer. This modular approach allows for clear separation of concerns and reduces complexity in application development.
Microcontroller Based Automatic Sprinkler Irrigation SystemIJMER
Microcontroller based Automatic Sprinkler System is a new concept of using
intelligence power of embedded technology in the sprinkler irrigation work. Designed system replaces
the conventional manual work involved in sprinkler irrigation to automatic process. Using this system a
farmer is protected against adverse inhuman weather conditions, tedious work of changing over of
sprinkler water pipe lines & risk of accident due to high pressure in the water pipe line. Overall
sprinkler irrigation work is transformed in to a comfortableautomatic work. This system provides
flexibility & accuracy in respect of time set for the operation of a sprinkler water pipe lines. In present
work the author has designed and developed an automatic sprinkler irrigation system which is
controlled and monitored by a microcontroller interfaced with solenoid valves.
On some locally closed sets and spaces in Ideal Topological SpacesIJMER
This document introduces and studies the concept of δˆ s-locally closed sets in ideal topological spaces. Some key points:
- A subset A is δˆ s-locally closed if A can be written as the intersection of a δˆ s-open set and a δˆ s-closed set.
- Various properties of δˆ s-locally closed sets are introduced and characterized, including relationships to other concepts like generalized locally closed sets.
- It is shown that a subset A is δˆ s-locally closed if and only if A can be written as the intersection of a δˆ s-open set and the δˆ s-closure of A.
- Theore
Intrusion Detection and Forensics based on decision tree and Association rule...IJMER
This paper present an approach based on the combination of, two techniques using
decision tree and Association rule mining for Probe attack detection. This approach proves to be
better than the traditional approach of generating rules for fuzzy expert system by clustering methods.
Association rule mining for selecting the best attributes together and decision tree for identifying the
best parameters together to create the rules for fuzzy expert system. After that rules for fuzzy expert
system are generated using association rule mining and decision trees. Decision trees is generated for
dataset and to find the basic parameters for creating the membership functions of fuzzy inference
system. Membership functions are generated for the probe attack. Based on these rules we have
created the fuzzy inference system that is used as an input to neuro-fuzzy system. Fuzzy inference
system is loaded to neuro-fuzzy toolbox as an input and the final ANFIS structure is generated for
outcome of neuro-fuzzy approach. The experiments and evaluations of the proposed method were
done with NSL-KDD intrusion detection dataset. As the experimental results, the proposed approach
based on the combination of, two techniques using decision tree and Association rule mining
efficiently detected probe attacks. Experimental results shows better results for detecting intrusions as
compared to others existing methods
Natural Language Ambiguity and its Effect on Machine LearningIJMER
This document discusses natural language ambiguity and its effect on machine learning. It begins by introducing different types of ambiguity that exist in natural languages, including lexical, syntactic, semantic, discourse, and pragmatic ambiguities. It then examines how these ambiguities present challenges for computational linguistics and machine translation systems. Specifically, it notes that ambiguity is a major problem for computers in processing human language as they lack the world knowledge and context that humans use to resolve ambiguities. The document concludes by outlining the typical process of machine translation and how ambiguities can interfere with tasks like analysis, transfer, and generation of text in the target language.
Today in era of software industry there is no perfect software framework available for
analysis and software development. Currently there are enormous number of software development
process exists which can be implemented to stabilize the process of developing a software system. But no
perfect system is recognized till yet which can help software developers for opting of best software
development process. This paper present the framework of skillful system combined with Likert scale. With
the help of Likert scale we define a rule based model and delegate some mass score to every process and
develop one tool name as MuxSet which will help the software developers to select an appropriate
development process that may enhance the probability of system success.
Material Parameter and Effect of Thermal Load on Functionally Graded CylindersIJMER
The present study investigates the creep in a thick-walled composite cylinders made
up of aluminum/aluminum alloy matrix and reinforced with silicon carbide particles. The distribution
of SiCp is assumed to be either uniform or decreasing linearly from the inner to the outer radius of
the cylinder. The creep behavior of the cylinder has been described by threshold stress based creep
law with a stress exponent of 5. The composite cylinders are subjected to internal pressure which is
applied gradually and steady state condition of stress is assumed. The creep parameters required to
be used in creep law, are extracted by conducting regression analysis on the available experimental
results. The mathematical models have been developed to describe steady state creep in the composite
cylinder by using von-Mises criterion. Regression analysis is used to obtain the creep parameters
required in the study. The basic equilibrium equation of the cylinder and other constitutive equations
have been solved to obtain creep stresses in the cylinder. The effect of varying particle size, particle
content and temperature on the stresses in the composite cylinder has been analyzed. The study
revealed that the stress distributions in the cylinder do not vary significantly for various combinations
of particle size, particle content and operating temperature except for slight variation observed for
varying particle content. Functionally Graded Materials (FGMs) emerged and led to the development
of superior heat resistant materials.
Energy Audit is the systematic process for finding out the energy conservation
opportunities in industrial processes. The project carried out studies on various energy conservation
measures application in areas like lighting, motors, compressors, transformer, ventilation system etc.
In this investigation, studied the technical aspects of the various measures along with its cost benefit
analysis.
Investigation found that major areas of energy conservation are-
1. Energy efficient lighting schemes.
2. Use of electronic ballast instead of copper ballast.
3. Use of wind ventilators for ventilation.
4. Use of VFD for compressor.
5. Transparent roofing sheets to reduce energy consumption.
So Energy Audit is the only perfect & analyzed way of meeting the Industrial Energy Conservation.
An Implementation of I2C Slave Interface using Verilog HDLIJMER
This document describes the implementation of an I2C slave interface using Verilog HDL. It introduces the I2C protocol which uses only two bidirectional lines (SDA and SCL) for communication. The document discusses the I2C protocol specifications including start/stop conditions, addressing, read/write operations, and acknowledgements. It then provides details on designing an I2C slave module in Verilog that responds to commands from an I2C master and allows synchronization through clock stretching. The module is simulated in ModelSim and synthesized in Xilinx. Simulation waveforms demonstrate successful read and write operations to the slave device.
Discrete Model of Two Predators competing for One PreyIJMER
This paper investigates the dynamical behavior of a discrete model of one prey two
predator systems. The equilibrium points and their stability are analyzed. Time series plots are obtained
for different sets of parameter values. Also bifurcation diagrams are plotted to show dynamical behavior
of the system in selected range of growth parameter
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
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Building Production Ready Search Pipelines with Spark and MilvusZilliz
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Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Optimization of WEDM Process Parameters on Titanium Alloy Using Taguchi Method
1. International Journal of Modern Engineering Research (IJMER)
www.ijmer.com Vol. 3, Issue. 4, Jul. - Aug. 2013 pp-2281-2286 ISSN: 2249-6645
www.ijmer.com 2281 | Page
Lokeswara Rao T.1
, N. Selvaraj2
1
Ph. D Research Scholar, National Institute of Technology, Warangal, India
2
Professor, National Institute of Technology, Warangal, India
ABSTRACT : This paper describes an optimum cutting parameters for Titanium Grade5 (Ti-6Al-4V) using Wire-cut
Electrical Machining Process (WEDM). The response of Volume Material Removal Rate (MRR) and Surface Roughness
(Ra) are considered for improving the machining efficiency. A brass wire of 0.25mm diameter was applied as tool electrode
to cut the specimen. The Experimentation has been done by using Taguchi’s L25 orthogonal array (OA) under different
conditions like pulse on, pulse off, peak current, wire tension, servo voltage and servo feed settings. Regression equation is
developed for the VMRR and Ra. The optimum parameters are obtained by using Taguchi method. This study shows that the
stated problem is solved by minimum number of experiments when compared to full factorial design.
KEYWORDS: Optimization of Process parameters, Titanium alloy, Taguchi method, WEDM.
I. INTRODUCTION
Wire cut EDM has been widely adopted as a machining tool for die materials which require high strength and
hardness as well as good wear resistance, while the traditional manufacturing process needs a special tool or technique with a
longer process time. In WEDM, a continuously moving conductive wire acts as an electrode and material is eroded from the
work piece by series of discrete sparks between the work piece and wire electrode separated by a thin film of dielectric fluid.
The dielectric is continuously fed to the spark zone to flush away the eroded material and it acts as a coolant. The schematic
representation of the WEDM is as shown in Figure-1.
Fig.1: Schematic Representation of WEDM
Rajurkar K.P, et al, [1] used a factorial design method, to determine the optimal combination of control parameters
in WEDM considering the measures of machining performance as metal removal rate and the surface finish. The study
concluded that control factors are discharge current, the pulse duration and the pulse frequency. Y. S. Tarng, et al, [2] used a
neural network model to estimate to the effects of parameters on the surface roughness as the response variable and
machining speed. J. Prohaszka [3] in their paper they have discussed about effect of electrode material on machinability in
wire electro-discharge machining that will lead to the improvement of WEDM performance. Experiments have been
conducted regarding the choice of suitable wire electrode materials and the influence of the properties of these materials on
the machinability in WEDM, the experimental results are presented and discussed. Y.S Liao et al.[4] derived an approach to
determine machining parameter settings for WEDM process. Based on the taguchi quality design and the analysis of
variance (ANOVA), the significant factors affecting the machining performance such as MRR, gap width ,surface roughness
,sparking frequency ,average gap voltage, normal ratio(ratio of normal sparks to total sparks) are determined. By means of
regression analysis, mathematical models relating the machining performance and various machining parameters are
established. Jose Maranon et.al [5] has investigated a new method of optimizing MRR using EDM with copper-tungsten
electrodes. This paper describes an investigation into the optimization of the process which uses the effect of carbon which
has migrated from the dielectric to tungsten copper electrodes.
Mustafa Ilhan et.al [6] have presented in their paper to select the most suitable cutting and offset parameter
combination for the electrical discharge machining process in order to get the desired surface roughness value for the
machined surface. A series of experiments have been conducted on 1040 steel material of thickness 30, 60 and 80 mm, and
on 2379 and 2738 steel materials of thicknesses 30 and 60mm. S.H. Lee et al. [7] have studied the effect of machining
parameters in EDM of tungsten carbide on the machining characteristics. The characteristics of EDM refer essentially to the
output machining parameters such as material removal rate (MRR), relative wear ratio (RWR) and surface roughness (Ra).
C. L. Lin, et al, [8] have described, the grey relational analysis based on an orthogonal array and fuzzy-based Taguchi
method is applied for optimizing the multi-response process. They have used both the grey relational analysis method
Optimization of WEDM Process Parameters on Titanium
Alloy Using Taguchi Method
2. International Journal of Modern Engineering Research (IJMER)
www.ijmer.com Vol. 3, Issue. 4, Jul. - Aug. 2013 pp-2281-2286 ISSN: 2249-6645
www.ijmer.com 2282 | Page
without using the S/N (Signal/Noise) ratio and fuzzy logic analysis in orthogonal array Table in carrying out experiments for
solving the multiple responses in the electrical discharge machining process. J. L. Lin et.al [9] has studied the optimization
of multiple performance characteristics of WEDM using orthogonal array. In their paper, a new approach for optimization of
the EDM with multiple performance characteristics based on the orthogonal array with grey relational analysis has been
studied. The performance characteristics studied are MRR, surface roughness, and electrode wear ratio.
N. Tosun et.al [10] have investigated theoretically and experimentally about the effect of the cutting parameters on
size on erosion craters of wire electrode in WEDM. The level of importance of the machining parameters on the wire crater
size has been determined by using analysis of variance (ANOVA). K.H. Ho, et. al, [11] in their paper have discussed about
wire EDM research involving the optimization of the process parameters surveying the influence of the various factors
affecting the machining performance and productivity. The paper also highlights the adaptive monitoring and control of the
process investigating the feasibility of the different control strategies of obtaining the optimal machining conditions. Scott F.
Miller et al, [12] in their paper have discussed about wire electrical discharge machining (EDM) of cross-section with
minimum thickness and compliant mechanisms is studied. This was supported by findings from SEM micrographs of EDM
surface, subsurface, and debris. R.Ramakrishnan et.al [13] in their paper have applied the Taguchi’s method, which is one of
the methods of robust design of experiments to optimize multi responses of the wire cut electric discharge machining
operations. Experimentation is carried out using Taguchi’s L16 orthogonal array method. By applying the Taguchi’s method,
a good improvement was obtained. Swarup S. Mahapatra et.al [14] have described in their paper about Parametric
Optimization of Wire Electrical Discharge Machining (WEDM) Process using Taguchi Method. The responses measured are
Surface finish (Ra) and MRR. They have used Taguchi technique for the optimization of process parameters. Orthogonal
array used is L27. They have proposed some optimized parameter values for machining the work piece.
The cutting of Tungsten Carbide ceramic using electro-discharge machining (EDM) with a graphite electrode by
using Taguchi methodology has been reported by Mohd Amri Lajis et al [15]. The Taguchi method is used to formulate the
experimental layout, to analyze the effect of each parameter on the machining characteristics, and to predict the optimal
choice for each EDM parameter such as peak current, voltage, pulse duration and interval time. It is found that these
parameters have a significant influence on machining characteristic such as metal removal rate (MRR), electrode wear rate
(EWR) and surface roughness (SR). The analysis of the Taguchi method reveals that, in general the peak current
significantly affects the EWR and SR, while, the pulse duration mainly affects the MRR. C. Bhaskar Reddy et.al, [16] have
investigated for best parameter selection to obtain maximum Metal removal rate (MRR) and better surface roughness (Ra)
by conducting the experimentation on CONCORD DK7720C four axes CNC Wire Electrical Discharge Machining of P20
die tool steel with molybdenum wire of 0.18mm diameter as electrode.
From the literature several researchers have been applied the Taguchi method is used to optimize the performance
parameters in WEDM process. In the Present work Titanium alloy is considered for measuring the output parameters like
material removal rate, surface rough using Taguchi method.
II. EXPERIMENTAL DESIGN
Proper experimental design significantly contributes towards the accurate characterization and optimization of the
process. Here, the criterion for experimental design and analysis is to achieve higher VRR along with reduction in Surface
Roughness. An orthogonal array for six controllable parameters is used to construct the matrix of five levels of controllable
factors. The L25 orthogonal array contains 25 experimental runs at various combinations of six input variables. In the
present study Table-1 represents various levels of process parameters and Table-2 represents experimental plan with
assigned values.
Table 1: Levels of Various Process Parameters
S.NO Process Parameters Units Level-I LeveI-II Level-III Level-IV Level-V
1. Pulse On µs 112 116 120 124 125
2. Pulse Off µs 60 56 52 48 44
3. Peak Current Amps 70 110 150 190 230
4. Wire Tension Kg-f 4 6 8 10 12
5. Servo Voltage Volts 10 30 50 70 90
6. Servo Feed mm/min 420 840 1260 1680 2100
Table 2: Experimental plan with assigned values
S.NO Pulse on
µs
Pulse Off
µs
Peak Current
Amps
Wire Tension
Kg-f
Servo Voltage
Volts
Servo feed
mm/min
1. 112 60 70 4 10 420
2. 112 56 105 6 30 840
3. 112 52 145 8 50 1260
4. 112 48 185 10 70 1680
5. 112 44 215 12 90 2100
6. 116 60 105 8 70 2100
7. 116 56 145 10 90 420
8. 116 52 185 12 10 840
9. 116 48 215 4 30 1260
10. 116 44 70 6 50 1680
11. 120 60 145 12 30 1680
12. 120 56 185 4 50 2100
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13. 120 52 215 6 70 420
14. 120 48 70 8 90 840
15. 120 44 105 10 10 1260
16. 124 60 185 6 90 1260
17. 124 56 215 8 10 1680
18. 124 52 70 10 30 2100
19. 124 48 105 12 50 420
20. 124 44 145 4 70 840
21. 128 60 215 10 50 840
22. 128 56 70 12 70 1260
23. 128 52 105 4 90 1680
24. 128 48 145 6 10 2100
25. 128 44 185 8 30 420
III. SELECTION OF MATERIAL
Titanium alloys are now the most attractive materials in aerospace and medical applications. The titanium its alloys
are used extensively in aerospace, such as jet engine and airframe components, because of their excellent combination high
specific strength (strength to weight ratio) and their exceptional resistance to corrosion at elevated temperature. In the
present work Titanium grade 5 (Ti6Al4V) is used as work piece material and brass wire is used as electrode material. The
chemical composition of the material is shown in Table -3. The variable process parameters and fixed parameters are given
in Table-4 and Table-5 respectively.
Table 3: Chemical composition of Titanium Grade 5 Material
N C H Fe O Al V
0.05 % 0.08 % 0.015 % 0.40 % 0.20 % 6.75 % 4.5 %
IV. EXPERIMENTAL WORK
The experiments were planned according to Taguchi’s L25 orthogonal array [17]. The experiments were carried out
on ELEKTRA SPRINTCUT 734 four axis wire cut EDM machine is as shown in Figure.2. The basic parts of the WEDM
machine consists of a wire Electrode, a work table, and a servo control system, a power supply and dielectric supply system.
The following Fig shows the ELEKTRA SPRINTCUT 734 of wire EDM. . Therefore, the width of cut (W) remains
constant. The VMRR for each WEDM operation was calculated using Eq. (1). Surface Roughness (Ra) is measured by
handy surf (Mitutoyo surftest SJ-201P) equipment.
Fig. 2: CNC Wire cut EDM is used for experimentation
Table 4: process parameters of ELECTRONICA SPRINT CUT 734 CNC WEDM
Control parameters Units Symbol
Pulse On µs A
Pulse Off µs B
Peak Current Amperes C
Wire tension Kg-f D
Servo Voltage Volts E
Servo Feed mm/min F
Table 5: Variable and fixed parameters in WEDM
Machining Parameters Working Range Fixed Parameters Value
Pulse On 115-131 machine unit Composition of material Ti6Al4V
Pulse off 63-45 machine unit Work piece thickness 25mm
Peak current 70-230 Ampere Wire electrode material Brass wire Ø0.25mm
Wire tension 0-15 kg-f Dielectric medium Distilled water
Servo Voltage 0-99Volts Wire feed 8m/min
Servo feed setting 0-2100 mm/min Wire offset 0.00mm
Volume Material removal rate (VMRR) = Volume of the material removed / cutting time mm3
/min (1)
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V. RESULTS AND DISCUSSIONS
The effect of machining parameters on material removal rate and surface roughness in machining Titanium (Ti-6Al-
4V) are studied. From the results it is observed that, the pulse, pulse and peak current are the most significant factors for the
performance measures. The wire tension, servo voltage and servo feed settings are less significant on performance measure.
The results are obtained by analyzed using S/N Ratios, Response table and Response Graphs with the help of Minitab
software. Table VI shows this experimental results then it is analyzed and obtained the optimum process parameters for
MRR and Ra.
Table 6: Experimental results of output parameters
Run A B C D E F
Cutting Rate
mm/min
Cutting
time
minutes
VMMR
mm3
/min
Ra
µm
1. 112 60 70 4 10 420 0.16 121.46 1.355 1.18
2. 112 56 105 6 30 840 0.55 33.24 4.952 1.24
3. 112 52 145 8 50 1260 0.65 30.54 5.389 1.28
4. 112 48 185 10 70 1680 0.72 29.21 5.635 1.31
5. 112 44 215 12 90 2100 0.35 59.56 2.777 1.16
6. 116 60 105 8 70 2100 0.36 60.21 2.733 1.20
7. 116 56 145 10 90 420 0.30 67.42 2.441 1.25
8. 116 52 185 12 10 840 1.35 15.02 10.959 1.52
9. 116 48 215 4 30 1260 2.21 9.12 18.049 2.11
10. 116 44 70 6 50 1680 1.88 11.40 14.439 2.03
11. 120 60 145 12 30 1680 1.72 11.56 14.239 2.01
12. 120 56 185 4 50 2100 1.64 12.15 13.548 1.93
13. 120 52 215 6 70 420 1.82 11.40 14.439 1.86
14. 120 48 70 8 90 840 2.35 7.41 22.214 2.89
15. 120 44 105 10 10 1260 2.19 8.52 19.320 2.76
16. 124 60 185 6 90 1260 1.47 13.56 12.139 1.29
17. 124 56 215 8 10 1680 1.82 10.58 15.558 1.37
18. 124 52 70 10 30 2100 2.74 7.11 23.151 2.45
19. 124 48 105 12 50 420 2.45 8.03 20.499 3.01
20. 124 44 145 4 70 840 1.73 11.25 14.632 1.54
21. 128 60 215 10 50 840 1.95 10.06 16.362 1.62
22. 128 56 70 12 70 1260 2.12 9.25 17.795 1.73
23. 128 52 105 4 90 1680 2.35 8.34 19.737 2.25
24. 128 48 145 6 10 2100 1.93 10.21 16.122 1.53
25. 128 44 185 8 30 420 2.42 8.12 20.272 2.08
VI. SELECTION OF OPTIMAL PARAMETER COMBINATION
The Experimental results shows the effect of six process parameters on material removal rate and surface
roughness.Fig-4 shows the effect of Volume Material Removal Rate for the pulse on, pulse off, peak Current and Servo
Voltage. From this Fig, it was observed that the VMRR increased when the pulse on time was increased due to number of
discharges within a given period of time increase. In Fig.6, it shows that with an increase of pulse on time the surface quality
of the machined surfaces were decreased because under longer pulse time on the electrical sparks generate bigger craters on
the surface of work piece. Fig.3 and 5 shows the graphs for the S/N ratios.
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MeanofSNratios
Pulse Off Peak Current
Wire Tension Servo Voltage Servo Feed
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Larger is better
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MeanofMeans
Pulse Off Peak Current
Wire Tension Servo Voltage Servo Feed
Main Effects Plot for Means
Data Means
Fig. 3: Response Graphs for S/N ratios Fig. 4: Response Graphs for Means
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MeanofSNratios
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Wire Tension Servo Voltage Servo Feed
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Smaller is better
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MeanofMeans
Pulse Off Peak Current
Wire Tension Servo Voltage Servo Feed
Main Effects Plot for Means
Data Means
Fig. 5: Response Graphs for S/N ratios Fig. 6: Response Graphs for Means
In Taguchi Analysis the Volume Material Removal Rate versus Pulse on, Pulse off, Peak Current and Servo
Voltage is carried out and average of each level is the parameter for raw data is given in Table 7 and average of each level in
terms of S/N ratios are given in Table 8. Surface Rough versus Pulse on, Pulse off, Peak Current and Servo Voltage is
carried out and average of each level is the parameter for raw data is given in Table 9 and average of each level in terms of
S/N ratios and optimal parameter setting to obtain maximum Volume Material Removal Rate is given in Table 10. After
observing all response graphs, Table 11 shows the Optimal Parameters Combination for VMRR and Ra.
Table 7: Response Table for Means Larger is better
Level pulse On Pulse Off Peak Current Wire tension Servo voltage Servo feed
1 11.01 21.45 21.01 19.92 19.43 17.19
2 17.12 23.49 20.10 21.22 23.10 21.84
3 24.31 22.36 18.58 20.05 22.19 22.43
4 24.47 18.58 21.25 2001 19.05 22.20
5 25.09 16.08 21.06 20.80 18.23 18.34
Delta 14.08 7.41 2.67 1.30 4.88 5.24
Rank 1 2 5 6 4 3
Table 8: Response Table for Signal to Noise Ratios
Level pulse On Pulse Off Peak Current Wire tension Servo voltage Servo feed
1 4.022 14.288 15.791 13.464 12.663 11.801
2 9.724 16.504 13.448 12.418 16.133 13.824
3 16.752 14.735 10.565 13.233 14.047 14.538
4 17.196 10.859 12.511 13.382 14.047 14.538
5 18.058 9.366 13.437 13.254 11.862 11.666
Delta 14.036 7.138 5.226 1.046 5.086 2.872
Rank 1 2 3 6 4 5
Table 9: Response Table for Means Smaller is better
Level pulse On Pulse Off Peak Current Wire tension Servo voltage Servo feed
1 -1.817 -5.274 -5.870 -4.886 -4.064 -4.940
2 -3.959 -6.263 -5.777 -3.863 -5.713 -4.533
3 -7.040 -5.200 -3.518 -4.408 -5.553 -4.884
4 -5.210 -3.403 -4.053 -5.015 -3.566 -4.867
5 -5.210 -3.097 -4.018 -5.064 -4.340 -4.012
Delta 5.223 3.165 2.352 1.202 2.146 0.928
Rank 1 2 3 5 4 6
Table 10: Response Table for Signal to Noise Ratios
Level pulse On Pulse Off Peak Current Wire tension Servo voltage Servo feed
1 1.234 1.914 2.056 1.082 1.672 1.876
2 1.622 2.170 2.056 1.802 1.672 1.762
3 2.290 1.872 1.522 1.764 .1.974 1.834
4 1.932 1.504 1.626 1.878 1.528 1.794
5 1.842 1.460 1.624 1.886 1.768 1.654
Delta 1.056 0.710 0.570 0.296 0.450 0.222
Rank 1 2 3 5 6 4
Table 11: Optimal Parameter Combination for MRR and Ra
Process Parameters Optimum Level for VMRR Optimum Level for Ra
Pulse On 128 112
Pulse Off 48 60
Peak Current 220 150
Wire Tension 6 6
Servo Voltage 30 70
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DEVELOPMENT OF REGRESSION EQUATION
The objective of multiple regression analysis is to construct a model that explains as much as possible, the
variability in a dependent variable, using several independent variables.
The Regression equations for VMRR and Ra
VMRR = - 69.7 + 0.889 pulse on - 0.387 Pulse Off - 0.0141 Peak Current + 0.027 Wire Tension - 0.0334 Servo Voltage -
0.00004 Servo Feed.
Ra = - 0.24 + 0.0381 pulse on - 0.0393 Pulse Off - 0.00333Peak Current + 0.0228 Wire Tension - 0.00129 Servo Voltage -
0.000098 Servo Feed.
VII. CONCLUSION
In this research, three different analyses are employed to obtain the following goals. Evaluating the effects on machining
parameters on volume material removal rate, evaluating the effects on machining parameters on surface roughness and
presenting the optimal machining conditions. Taguchi Analysis determines the factors which have significant impact on
volume material removal rate. Equations which correlate machining parameters with material removal rate is found by
regression analysis, and the optimal setting is found by S/N ratio analysis. Further research might attempt to consider the
other performance criteria, such kerf, surface waviness, dimensional error as output parameters. This technique can also be
applied for the various conventional machining operations and for machining of advanced materials like composites to
improve the performance characteristics simultaneously. The present work was carried out by Taguchi analysis; further this
work can be extended by considering any combination of fuzzy control, Grey relational analysis with Taguchi’s orthogonal
array technique, response surface methodology techniques.
REFERENCES
[1]. Rajurkar K.P., Scott D, Boyina S., “Analysis and Optimization of Parameter Combination in Wire Electrical Discharge
Machining”, International Journal of Production Research, Vol. 29, No. 11, 1991, PP 2189- 2207.
[2]. Y. S. Tarng., Ma S.C., Chung L.K., “Determination of Optimal Cutting Parameters in Wire Electrical Discharge Machining”,
International Journal of Machine Tools and Manufacture, Vol. 35, No. 12, 1995, PP. 1693-1701.
[3]. J.Prohaszka, A.G. Mamalis and N.M.Vaxevanidis, “The effect of electrode material on machinability in wire electro-discharge
machining”, Journal of Materials Processing technology, 69, 1997, PP 233-237.
[4]. (A) Y.S. Liao, Y.Y. Chu and M.T. Yan, Study of wire breaking process and monitoring of WEDM, International Journal of
Machine Tools & Manufacture, 37 (1997) pp. 555-567. (B) Y.S Liao , J.T.Huang, A study on the machining parameter
optimization of WEDM, Journal of Material Processing Technology,71(1997) pp. 487-493
[5]. Jose Marafona, Catherine Wykes., “A new method of optimizing MRR using EDM with Copper–tungsten electrodes”.
International journal of Machine tools and manufacturing. Vol. 40, 22 June 1999, PP 153-164.
[6]. Mustafa Ilhan Gokler, Alp Mithat Ozanozgu, “Experimental investigation of effects of Cutting parameters on surface roughness in
the WEDM process”. International journal of Machine tools and manufacture. Vol. 40, 2000, PP 1831-1848.
[7]. S.H.Lee, X.P Li, Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbide, Journals of Material Processing Technology 115 (2001) pp.344-358.
[8]. C. L. Lin, J. L. Lin, T. C. Ko, “Optimization of EDM process based on the orthogonal array with fuzzy logic and grey relational
analysis method”. International journal of advanced manufacturing technology. Vol. 19, 2002, PP 271-227.
[9]. J. L. Lin., C. L. Lin., “The use of the orthogonal array with grey relational analysis to optimize the electrical discharge
machining process with multiple performance characteristics”. International journal of machine tools and manufacture, Vol. 42,
2002, PP 237-244.
[10]. N. Tosun, and H. Pihtili., “The Effect of Cutting Parameters on Wire Crater Sizes in Wire EDM”, International journal of advanced
manufacturing technology, Vol. 21, July 2003, PP 857-865.
[11]. K.H. Ho, S.T. Newman, S.Rahimifard, and R.D.Allen, “State of the art in wire electrical discharge machining (WEDM)”,
International journal of machine tools & manufacture,44, 2004, PP 1247-1259.
[12]. Scott F. Miller, Chen-C. Kao, Albert J. Shih, and Jun Qu “Investigation of wire electrical discharge machining of thin cross-
sections and compliant mechanisms”, International journal of machine tools & manufacture, 45, 2005, PP 1717-1725.
[13]. R.Ramakrishnan and L.Karunamoorthy. “Multi response optimization of WEDM operations using robust design”, International
journal of advanced manufacturing technology, Vol. 29, May 2006, PP 105-112.
[14]. Swarup S. Mahapatra, Amar Patnaik., “Parametric Optimization of Wire Electrical Discharge Machining (WEDM) Process using
Taguchi Method”, Journal of Brazil society of mech. Sci. & Eng, Vol. 28, No. 4, December 2006, PP 422-429.
[15]. Mohd Amri Lajis , H.C.D. Mohd Radzi, The Implementation of Taguchi Method on EDM Process of Tungsten Carbide, European
Journal of Scientific Research ISSN 1450-216X Vol.26 No.4 (2009), pp.609-617.
[16]. C. Bhaskar Reddy et.al, Experimental Investigation of Surface Finish and Metal Removal Rate of P20 Die tool steel in wire-EDM
using Multiple Regression Analysis, GSTF journal of Engineering Technology, V.1, number.1,june 2012,pp, 113-118.
[17]. A Hand Book on “Taguchi Techniques for Quality Engineering” by PHILLIP J. ROSS. 2005.