This document discusses using a relevance vector machine (RVM) model to predict material removal rate (MRR) and surface roughness (SR) in an electrochemical machining (ECM) process. Experiments were conducted using an EN19 tool steel workpiece and varying the flow rate of electrolyte, voltage, and feed rate according to a Taguchi design. An RVM model was developed using these input parameters to predict MRR and SR. The model performance was evaluated by comparing predicted and experimental outputs, with the goal of minimizing regression error. Results showed the RVM model with a Laplace kernel function produced the lowest regression error, indicating it can accurately predict MRR and SR for the ECM process.
Parameter Optimization of Wire EDM in a Range of Thickness for EN8 Die SteelIJTET Journal
Wire Electrical Discharge Machining (WEDM) is also known as an electro thermal production process in then, nor
electricity) allows the wire to cut through the metal by the use of heat from electrical sparks. The present work process approach
to parameter optimization in wire electric discharge machining of EN-8 die steel (of thickness 50 and 75mm) using Taguchi
method which optimizes four process parameters (factors) such as pulse ON time, pulse OFF time, current, voltage and two
important response such as material removal rate (MRR) and in surface roughness (Ra –average roughness) of machined
workpiece is considered in this study. Taguchi is an efficient search technique, is used to obtain the optimal setting of the desired
responses and to avoid the conflicting nature of response. Taguchi designs focus on reducing variability, as well as setting the mean to target.
Multi-Response Optimization of WEDM Process Parameters of Monel 400 using Int...ijceronline
Non-traditional machining processes such as Wire Electric Discharge Machining (WEDM) are increasingly been employed to machine difficult-to-machine materials. Monel 400 an alloy of Nickel and Copper is taken in this study and it is cut through Wire Electric Discharge Machining process. It is utilized mainly in corrosion resistant applications. Further, the process parameters are optimized to get the desired machining conditions which can improve the quality of machining. Design of Experiments is done through Central Composite Design (CCD). Response Surface Methodology (RSM) and Genetic Algorithm (GA) which is an evolutionary algorithm are the techniques employed for the optimization of parameters in WEDM. The multi response optimization for achieving maximum material removal rate (MRR) and minimum surface roughness, the optimum process parameters are found to be ‘Current’ of 2.031 A, ‘T-On’ of 3 µs, ‘T-Off’ of 10 µs, the obtained maximum MRR is 6.339 mm 3 /min and minimum surface roughness is 1.846 µm.
Optimization of WEDM Process Parameters on Titanium Alloy Using Taguchi MethodIJMER
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.
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.
ANALYSIS OF THE EFFECT OF ULTRASONIC VIBRATIONS ON THE PERFORMANCE OF MICROEL...ijmech
The application of ultrasonic vibrations to a workpiece or tool is a novel hybrid approach in microelectrical discharge achining. The advantages of this method include effective lushing out of debris, higher machining efficiency and lesser short-circuits during machining. This paper presents a systematic analysis of the influence of kinetic effects of the ultrasonic vibrations on the material removal rate (MRR)
and tool electrode wear rate (TWR). The tool wear ratio was estimated for the process at all processing conditions. The maximum variation in tool wear ratio is observed to be 82%. Therefore, MRR and TWR were independently analyzed by using three scientific tools: i) AOM plots, ii) interaction plots and iii) three-dimensional scatter plots. The increase in MRR is 47% corresponding to an increase in the maximum
power of vibrations by 30%. The ultrasonic vibrations are found to be very effective at higher machining depths for achieving stable machining conditions. Regression equations were developed for MRR and TWR with capacitance, ultrasonic vibration factor, feed rate and machining time.
Parameter Optimization of Wire EDM in a Range of Thickness for EN8 Die SteelIJTET Journal
Wire Electrical Discharge Machining (WEDM) is also known as an electro thermal production process in then, nor
electricity) allows the wire to cut through the metal by the use of heat from electrical sparks. The present work process approach
to parameter optimization in wire electric discharge machining of EN-8 die steel (of thickness 50 and 75mm) using Taguchi
method which optimizes four process parameters (factors) such as pulse ON time, pulse OFF time, current, voltage and two
important response such as material removal rate (MRR) and in surface roughness (Ra –average roughness) of machined
workpiece is considered in this study. Taguchi is an efficient search technique, is used to obtain the optimal setting of the desired
responses and to avoid the conflicting nature of response. Taguchi designs focus on reducing variability, as well as setting the mean to target.
Multi-Response Optimization of WEDM Process Parameters of Monel 400 using Int...ijceronline
Non-traditional machining processes such as Wire Electric Discharge Machining (WEDM) are increasingly been employed to machine difficult-to-machine materials. Monel 400 an alloy of Nickel and Copper is taken in this study and it is cut through Wire Electric Discharge Machining process. It is utilized mainly in corrosion resistant applications. Further, the process parameters are optimized to get the desired machining conditions which can improve the quality of machining. Design of Experiments is done through Central Composite Design (CCD). Response Surface Methodology (RSM) and Genetic Algorithm (GA) which is an evolutionary algorithm are the techniques employed for the optimization of parameters in WEDM. The multi response optimization for achieving maximum material removal rate (MRR) and minimum surface roughness, the optimum process parameters are found to be ‘Current’ of 2.031 A, ‘T-On’ of 3 µs, ‘T-Off’ of 10 µs, the obtained maximum MRR is 6.339 mm 3 /min and minimum surface roughness is 1.846 µm.
Optimization of WEDM Process Parameters on Titanium Alloy Using Taguchi MethodIJMER
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.
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.
ANALYSIS OF THE EFFECT OF ULTRASONIC VIBRATIONS ON THE PERFORMANCE OF MICROEL...ijmech
The application of ultrasonic vibrations to a workpiece or tool is a novel hybrid approach in microelectrical discharge achining. The advantages of this method include effective lushing out of debris, higher machining efficiency and lesser short-circuits during machining. This paper presents a systematic analysis of the influence of kinetic effects of the ultrasonic vibrations on the material removal rate (MRR)
and tool electrode wear rate (TWR). The tool wear ratio was estimated for the process at all processing conditions. The maximum variation in tool wear ratio is observed to be 82%. Therefore, MRR and TWR were independently analyzed by using three scientific tools: i) AOM plots, ii) interaction plots and iii) three-dimensional scatter plots. The increase in MRR is 47% corresponding to an increase in the maximum
power of vibrations by 30%. The ultrasonic vibrations are found to be very effective at higher machining depths for achieving stable machining conditions. Regression equations were developed for MRR and TWR with capacitance, ultrasonic vibration factor, feed rate and machining time.
EDM machining is used for very hard and complex cutting of conducting materials with
higher surface finish and close dimensions. EDM process parameters are affected by both electrical
and non electrical parameters. In this paper, cutting of hard material Stainless steel 316 is done on
electro discharge machine with copper as cutting tool electrode. This paper presents the effect of
control factors (i.e., current, pulse on time, pulse off time, fluid pressure) for maximum material
removal rate (MRR) and minimum electrode wear rate (EWR) for die sinking Electric Discharge
Machine. In this paper both the electrical factors and non electrical factors has been focused which
governs MRR and EWR. Paper is based on Design of experiment and optimization of EDM process
parameters. The technique used is Taguchi technique which is a statistical decision making tool helps
in minimizing the number of experiments and the error associated with it. The research showed that
the Pulse off time, Current has significant effect on material removal rate and electrode wear rate
respectively
Prediction of Weld Pool Geometry in Pulsed Current Micro Plasma Arc Welding o...drboon
Pulsed Micro Plasma Arc Welding (MPAW) is a metal joining technique widely used in manufacturing of thin sheet components due to its inherent properties. The weld quality and productivity are controlled by the process parameters. The paper discuses about development of mathematical models for weld pool geometry of stainless steel 304L sheets. Design of experiments based on full factorial design is employed for the development of a mathematical model correlating the important controlled pulsed MPAW process parameters like peak current, background current, pulse and pulse width with front width, back width, front height and back height. The developed mode has been checked for adequacy based on ANOVA analysis. Weld bead parameters obtained by the models are found to confirm actual values with high accuracy. Using these models effect of pulsed MPAW process parameters on weld pool geometry are studied.
Optimization of EDM Process of (Cu-W) EDM Electrodes on Different ProgressionIJERA Editor
The purpose of this research work is to determine the optimal cutting condition of EDM process of different
work piece materials using different compositions of Cu-W tool Electrodes. The key cutting factors such as
Discharge Current, Voltage, Pulse- On – Time, Duty Cycle, Spark Gap and flushing pressure will be optimized.
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.
Parametric Optimization of Electrochemical Machining Using Signal-To-Noise (S...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.
Multiple Optimization of Wire EDM Machining Parameters Using Grey Based Taguc...IJMER
Wire EDM is a non conventional machining process, which is used when the precision is prime importance. Multiple optimization (Grey based Taguchi) technique is used to find out the optimum machining setup for input parameter. This paper investigate the optimal set of process parameter such as Ton, Toff, Wp, Wf in wire EDM machining process to find out the variation in two output parameter such as material removal rate (MRR), and surface roughness (Ra) on material high chromium high carbon steel (HCHCr) using wire Brass/super alloy (coated).Experimentation was conducted on orthogonal array L-9 based on DOE. Analysis of experiment has been carried out using GRA. All the experimental data are fed into Minitab software, through which various tables, graphs & optimum values are obtained. The experimental result reveals that the optimum setting of input parameters significantly improves Wire EDM process.
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
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.
Optimization of edm process parameters using taguchi method a revieweSAT Journals
Abstract
Electrical discharge machining is assessed on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (SR). Process parameters that mostly affected the EDM Process are Pulse on Time, Pulse off Time, Discharge Current, Arc Gap and Duty Cycle. This paper reviews research for the optimization and improvement of various performance parameters measured in the experimentation on EDM by using Taguchi technique. In the study the main objectives of optimization is to minimize the tool wear rate (TWR) and surface roughness, and to maximize the material removal rate (MRR).Taguchi Method is widely used in the industry to optimize and improve various performance parameters associated with different machining processes. This paper also deals with the review of some of the work reported with the use of Taguchi method in last two decades.
Keywords: - EDM, Wire EDM, MRR, RWR, TWR, SR, Taguchi Technique
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 34 (=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.
EDM machining is used for very hard and complex cutting of conducting materials with
higher surface finish and close dimensions. EDM process parameters are affected by both electrical
and non electrical parameters. In this paper, cutting of hard material Stainless steel 316 is done on
electro discharge machine with copper as cutting tool electrode. This paper presents the effect of
control factors (i.e., current, pulse on time, pulse off time, fluid pressure) for maximum material
removal rate (MRR) and minimum electrode wear rate (EWR) for die sinking Electric Discharge
Machine. In this paper both the electrical factors and non electrical factors has been focused which
governs MRR and EWR. Paper is based on Design of experiment and optimization of EDM process
parameters. The technique used is Taguchi technique which is a statistical decision making tool helps
in minimizing the number of experiments and the error associated with it. The research showed that
the Pulse off time, Current has significant effect on material removal rate and electrode wear rate
respectively
Prediction of Weld Pool Geometry in Pulsed Current Micro Plasma Arc Welding o...drboon
Pulsed Micro Plasma Arc Welding (MPAW) is a metal joining technique widely used in manufacturing of thin sheet components due to its inherent properties. The weld quality and productivity are controlled by the process parameters. The paper discuses about development of mathematical models for weld pool geometry of stainless steel 304L sheets. Design of experiments based on full factorial design is employed for the development of a mathematical model correlating the important controlled pulsed MPAW process parameters like peak current, background current, pulse and pulse width with front width, back width, front height and back height. The developed mode has been checked for adequacy based on ANOVA analysis. Weld bead parameters obtained by the models are found to confirm actual values with high accuracy. Using these models effect of pulsed MPAW process parameters on weld pool geometry are studied.
Optimization of EDM Process of (Cu-W) EDM Electrodes on Different ProgressionIJERA Editor
The purpose of this research work is to determine the optimal cutting condition of EDM process of different
work piece materials using different compositions of Cu-W tool Electrodes. The key cutting factors such as
Discharge Current, Voltage, Pulse- On – Time, Duty Cycle, Spark Gap and flushing pressure will be optimized.
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.
Parametric Optimization of Electrochemical Machining Using Signal-To-Noise (S...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.
Multiple Optimization of Wire EDM Machining Parameters Using Grey Based Taguc...IJMER
Wire EDM is a non conventional machining process, which is used when the precision is prime importance. Multiple optimization (Grey based Taguchi) technique is used to find out the optimum machining setup for input parameter. This paper investigate the optimal set of process parameter such as Ton, Toff, Wp, Wf in wire EDM machining process to find out the variation in two output parameter such as material removal rate (MRR), and surface roughness (Ra) on material high chromium high carbon steel (HCHCr) using wire Brass/super alloy (coated).Experimentation was conducted on orthogonal array L-9 based on DOE. Analysis of experiment has been carried out using GRA. All the experimental data are fed into Minitab software, through which various tables, graphs & optimum values are obtained. The experimental result reveals that the optimum setting of input parameters significantly improves Wire EDM process.
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
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.
Optimization of edm process parameters using taguchi method a revieweSAT Journals
Abstract
Electrical discharge machining is assessed on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (SR). Process parameters that mostly affected the EDM Process are Pulse on Time, Pulse off Time, Discharge Current, Arc Gap and Duty Cycle. This paper reviews research for the optimization and improvement of various performance parameters measured in the experimentation on EDM by using Taguchi technique. In the study the main objectives of optimization is to minimize the tool wear rate (TWR) and surface roughness, and to maximize the material removal rate (MRR).Taguchi Method is widely used in the industry to optimize and improve various performance parameters associated with different machining processes. This paper also deals with the review of some of the work reported with the use of Taguchi method in last two decades.
Keywords: - EDM, Wire EDM, MRR, RWR, TWR, SR, Taguchi Technique
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 34 (=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.
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.
EFFECT OF EDM PARAMETERS IN OBTAINING MAXIMUM MRR AND MINIMUM EWR BY MACHININ...IAEME Publication
EDM machining is used for very hard and complex cutting of conducting materials with higher surface finish and close dimensions. EDM process parameters are affected by both electrical and non electrical parameters. In this paper, cutting of hard material Stainless steel 316 is done on electro discharge machine with copper as cutting tool electrode. This paper presents the effect of control factors (i.e., current, pulse on time, pulse off time, fluid pressure) for maximum material
removal rate (MRR) and minimum electrode wear rate (EWR) for die sinking Electric Discharge Machine.
The entire research work is experiment oriented and the conclusions are drawn based on
graphical analysis of experimental results. The research work carried out reveals that the findings are
encouraging in establishing the effect of Voltage, Capacitance and work piece vibration Frequency,
amplitude on different materials µEDM drilling process performance characteristics. The results of
this investigations can be adopted in deciding the optimal values of input process parameters µEDM
drilling process
PROCESS PARAMETER OPTIMISATION IN WEDM OF HCHCR STEEL USING TAGUHI METHOD AND...IAEME Publication
Wire Electrical Discharge Machining (WEDM) is used as a valuable machining tool in the world of non-traditional machining due to various features which includes higher degree of accuracy, fine surface quality and good productivity. WEDM consists of large number of process parameters,
thus it is difficult to obtain a combination of optimum parameters which provides higher accuracy. Optimization of a single response is often carried out with the well known technique Taguchi method. This method results in the solution which gives optimum value of each response
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 Discharge Machining (EDM) is a
non-traditional machining process, based on thermo electric
energy between the work piece and electrode. In this process,
the material removal is occurred electro thermally by a series
of successive discrete discharges between electrode and the
work piece. Electro Discharge Machine which has the ability to
machine hard, difficult to machine material and parts with
internal complex shape by using precisely controlled sparks
that occurs between electrode and work piece in the presence
of dielectric fluid. This spark removes material from both work
piece and electrode. Material Removal Rate (MRR) is of
crucial importance in this process. In this research experiment
has been done along with Copper and Graphite tool material as
well as Mild Steel and Aluminium material has been used as
work piece. Three major Control Parameters named as
Electrode Speed (V), Current (I) and Depth of Cut (h) are
considered to determine their influence on MRR. In this
experiment three levels of each parameter has been taken and
an analysis has been made to find out the influence of control
parameters on MRR using S/N Ratio and ANOVA Analysis
Study of different work materials effect on surface roughness in electrochemi...eSAT Journals
Abstract In today’s manufacturing era, Electrochemical machining process provides good surface finish due to its controlled atomic dissolution of work material, involving chemical reactions during machining. To enhance the machining performance, precise selection of machining parameters, is still a demanding job in ECM process as it is very complex process involving so many unpredictable chemical reactions while machining. Due to chemical and electrical characteristics; effect on surface roughness of process also depends upon the type of material. A very rare work has been done by taking work material as input parameter for experimental study of ECM. The reaction of work material is investigated as an input parameter along with voltage and inter-electrode gap on improvement in surface roughness using orthogonal Array. Work-piece material is discovered as most significant factor influencing improvement in Surface Roughness followed by Inter-electrode gap and Voltage. Effect of ECM is found to be most prominent on Brass work-piece.
Keywords: Electro chemical machining (ECM); Surface roughness (SR); Orthogonal Array; Mild steel; Brass; Aluminium; Taguchi; ANOVA.
Micron range complex structure in micro electrochemical machining- a revieweSAT Journals
Abstract
The major problem in the micro-manufacturing is concerned with achieving the good dimensional accurate products with the better surface finish, high MRR, no tool wear, absence of stress and no heat-affected zone. Micro-machining proved itself as a promising solution of this major problem. In recent days, industries are regularly looking for fabricating the micro-components which can be able to perform their complex functions in the sensitive areas of electronics, automotive, biomedical and optics. Now a day for miniature components micro-machining plays a very important role, its techniques are excellent to machine any complex shapes with good accuracy and bright surface finish. Material with any value of the hardness can be machined easily with all the offered advantages of micro-machining in the electrochemical micro-machining process (EMM). In this article; review of different methodologies and effect of machining parameters were studied along with different electrolytes; which plays a significant role in electro chemical micro-machining. The objective of this study is to know about the optimum micro-machining parameters for the EMM process and it is also much important to find out the research gap through the different studies. In this study, it has been found out MRR and overcut are depends upon the voltage, electrolyte concentration, IEG, pulse ON/OFF time, pulse duration, pulse frequency, RPM of the tool and flow rate of electrolyte. The proper selections of parameters in EMM are essentials for achieving the overall improvement in the micro-machining operation.
Micron range complex structure in micro electrochemical machining- a revieweSAT Journals
Abstract
The major problem in the micro-manufacturing is concerned with achieving the good dimensional accurate products with the better surface finish, high MRR, no tool wear, absence of stress and no heat-affected zone. Micro-machining proved itself as a promising solution of this major problem. In recent days, industries are regularly looking for fabricating the micro-components which can be able to perform their complex functions in the sensitive areas of electronics, automotive, biomedical and optics. Now a day for miniature components micro-machining plays a very important role, its techniques are excellent to machine any complex shapes with good accuracy and bright surface finish. Material with any value of the hardness can be machined easily with all the offered advantages of micro-machining in the electrochemical micro-machining process (EMM). In this article; review of different methodologies and effect of machining parameters were studied along with different electrolytes; which plays a significant role in electro chemical micro-machining. The objective of this study is to know about the optimum micro-machining parameters for the EMM process and it is also much important to find out the research gap through the different studies. In this study, it has been found out MRR and overcut are depends upon the voltage, electrolyte concentration, IEG, pulse ON/OFF time, pulse duration, pulse frequency, RPM of the tool and flow rate of electrolyte. The proper selections of parameters in EMM are essentials for achieving the overall improvement in the micro-machining operation.
Keywords: Micro-Manufacturing, Micro-Machining, Electrochemical Machining (ECM), Electrochemical Micro-Machining (EMM).
OPTIMIZATION OF ELECTRODE WEAR RATE ON ELECTRICAL DISCHARGE MACHINING AISI 30...IAEME Publication
AISI 304 stainless steel have a wide range of applications in the industrial field. The need for machining AISI 304 SS has not been eliminated fully. The electrode wear rate (EWR) is an
important aspect during electrical discharge machining (EDM). In this investigation an attempt has been made to assess the factors influencing electrode wear rate on the machining of AISI 304 SS. Design of experiments (full factorial design) concept has been used for experimentation. The machining experiments were conducted on a die sinking EDM machine using two levels of factors.
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.
Process Parameter Optimization of WEDM for AISI M2 & AISI H13 by Anova & Anal...IJERA Editor
WEDM is a widely recognized unconventional material cutting process used to manufacture components with complex shapes and profiles of hard materials. In this thermal erosion process, there is no physical contact between the wire tool and work materials. AISI M2 and AISI H13 materials are taken for studyand molybdenum wire electrode diameter (0.18mm); experiment is conducted according to Taguchi‟s L16 OA, with input parameters as Peak current, Pulse on, Pulse off their response on MRR, Surface Roughness, Kerf width & Spark Gap is analysed to check the significance of each using ANOVA. Process parameter optimization is done by Analytic Hierarchy Process with the criteria Maximum MRR, minimum kerf and surface roughness. It is observed that for material AISI M2 at low value of peak current (1 A), pulse off (20μs) and pulse on (30μs) we can minimize surface roughness (3.30μm), kerf width (0.195 mm) and maximize MRR (0.022 g/min),from the selected levels whereas for material AISI H13 Peak current (1A), Pulse On (40μs) and high Pulse Off (30μs) we get better Surface roughness (3.71 μm), kerf width (0.196mm) and maximum MRR (0.020g/min), from the selected levels.
Optimization of EDM Process Parameters using Response Surface Methodology for...ijtsrd
The present work demonstrates the optimization process of material removal rate MRR of electrical discharge machining EDM by RSM Response Surface Methodology . The work piece material was EN31 tool steel. The pulse on time, pulse off time, pulse current and voltage were the control parameters of EDM. RSM method was used to design the experiment using rotatable central composite design as this is the most widely used experimental design for modeling a second–order response surface. The process has been successfully modeled using response surface methodology RSM and model adequacy checking is also carried out using Minitab software. The second order response models have been validated with analysis of variance. Finally, an attempt has been made to estimate the optimum machining conditions to produce the best possible responses within the experimental constraints. Dr. N. Mahesh Kumar | Mr. P. Chinna Rao ""Optimization of EDM Process Parameters using Response Surface Methodology for AISI D3 Steel"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23535.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23535/optimization-of-edm-process-parameters-using-response-surface-methodology-for-aisi-d3-steel/dr-n-mahesh-kumar
EFFECT OF PROCESS PARAMETERS ON SURFACE ROUGHNESS OF NICKEL BASED ALLOYS IN WEDMijmech
In contrast to conventional machining process, WEDM may be proved more economic and efficient in
precise machining of wide range of materials ranging from die steel to the high temperature resistance
super alloys. In this study, the effect of WEDM process parameters like peak current (Ip), pulse on time
(Ton), pulse off time (Toff) and servo voltage (V) on the surface roughness has been considered while
machining of Nimonic 90 and Monel 400 using Taguchi’s method. Using Taguchi’s L18 orthogonal array,
process parameters were investigated for surface roughness. Analysis of variance shows that Ton and Ip
are highly significant process parameters for surface roughness.
Tech transfer making it as a risk free approach in pharmaceutical and biotech iniaemedu
Tech transfer is a common methodology for transferring new products or an existing
commercial product to R&D or to another manufacturing site. Transferring product knowledge to the
manufacturing floor is crucial and it is an ongoing approach in the pharmaceutical and biotech
industry. Without adopting this process, no company can manufacture its niche products, let alone
market them. Technology transfer is a complicated, process because it is highly cross functional. Due
to its cross functional dependence, these projects face numerous risks and failure. If anidea cannot be
successfully brought out in the form of a product, there is no customer benefit, or satisfaction.
Moreover, high emphasis is in sustaining manufacturing with highest quality each and every time. It
is vital that tech transfer projects need to be executed flawlessly. To accomplish this goal, risk
management is crucial and project team needs to use the risk management approach seamlessly.