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.
Realizing Potential of Graphite Powder in Enhancing Machining Rate in AEDM of...IDES Editor
Additive mixed electric discharge machining
(AEDM) is a recent innovation for enhancing the capabilities
of electrical discharge machining process. The objective of
present study is to realize the potential of graphite powder as
additive in enhancing machining capabilities of AEDM on
Inconel 718. Taguchi methodology has been adopted to plan
and analyze the experimental results. L36 Orthogonal Array
has been selected to conduct experiments. Peak current, Pulse
on time, duty cycle, gap voltage, retract distance and
concentration of fine graphite powder added into the dielectric
fluid were chosen as input process variables to study
performance in terms of material removal rate. The ANOVA
analysis identifies the most important parameters to maximize
material removal rate. The recommended best parametric
settings have been verified by conducting confirmation
experiments. From the present experimental study it is found
that addition of graphite powder enhances machining rate
appreciably. Machining rate is improved by 26.85% with 12g/
l of fine graphite powder at best parametric setting.
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
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 EDM Parameters for Surface Roughness in Straight Gear Manufacturing: An ...Dr. Amarjeet Singh
The gears are an essential component of any system. A gear is a spinning circular machine part with cut teeth, or inserted teeth (called cogs) in the case of a cogwheel or gearwheel, which mesh with another toothed part to convey torque. A gear is sometimes referred as a cog colloquially. Geared devices can adjust a power source's speed, torque, and direction. To eliminate backlash, high precision is required while making gears. Wire cut EDM is a high-precision machining technology that may manufacture high-precision straight gear. The goal of this research is to use the WEDM Process on an EMS 45 to determine the surface roughness of the workpiece and to optimise the influence of current and wire speed on the surface roughness of the straight gear. Wire cut machining parameters employed were 4, 6, and 8 amperes of current and 9, 11, and 13 mm/min of wire speed. Wire has a diameter of 0.25 mm, and the cutting material is brass. It has been demonstrated that as current and wire speed increase, surface roughness decreases, and vice versa. As a result, reduced machine settings can be used to generate a smoother and better workpiece surface.
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.
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.
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.
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.
Realizing Potential of Graphite Powder in Enhancing Machining Rate in AEDM of...IDES Editor
Additive mixed electric discharge machining
(AEDM) is a recent innovation for enhancing the capabilities
of electrical discharge machining process. The objective of
present study is to realize the potential of graphite powder as
additive in enhancing machining capabilities of AEDM on
Inconel 718. Taguchi methodology has been adopted to plan
and analyze the experimental results. L36 Orthogonal Array
has been selected to conduct experiments. Peak current, Pulse
on time, duty cycle, gap voltage, retract distance and
concentration of fine graphite powder added into the dielectric
fluid were chosen as input process variables to study
performance in terms of material removal rate. The ANOVA
analysis identifies the most important parameters to maximize
material removal rate. The recommended best parametric
settings have been verified by conducting confirmation
experiments. From the present experimental study it is found
that addition of graphite powder enhances machining rate
appreciably. Machining rate is improved by 26.85% with 12g/
l of fine graphite powder at best parametric setting.
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
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 EDM Parameters for Surface Roughness in Straight Gear Manufacturing: An ...Dr. Amarjeet Singh
The gears are an essential component of any system. A gear is a spinning circular machine part with cut teeth, or inserted teeth (called cogs) in the case of a cogwheel or gearwheel, which mesh with another toothed part to convey torque. A gear is sometimes referred as a cog colloquially. Geared devices can adjust a power source's speed, torque, and direction. To eliminate backlash, high precision is required while making gears. Wire cut EDM is a high-precision machining technology that may manufacture high-precision straight gear. The goal of this research is to use the WEDM Process on an EMS 45 to determine the surface roughness of the workpiece and to optimise the influence of current and wire speed on the surface roughness of the straight gear. Wire cut machining parameters employed were 4, 6, and 8 amperes of current and 9, 11, and 13 mm/min of wire speed. Wire has a diameter of 0.25 mm, and the cutting material is brass. It has been demonstrated that as current and wire speed increase, surface roughness decreases, and vice versa. As a result, reduced machine settings can be used to generate a smoother and better workpiece surface.
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.
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.
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.
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.
Investigation of mrr in wedm for wc co sintered compositeIAEME Publication
The document investigates the influence of wire electrical discharge machining (WEDM) parameters on material removal rate when machining tungsten carbide-cobalt (WC-Co) sintered composite. Experiments were conducted using a response surface methodology with five control factors (pulse on-time, pulse off-time, peak current, servo voltage, and wire tension). The results were used to derive a mathematical model to predict material removal rate and optimize the WEDM process for machining WC-Co composite.
Investigation and modelling of edm process parameters in machining of incoloy...eSAT Journals
Abstract The experimentation has been performed on EDM for the modelling and optimization of the process parameters. In this work modelling of the processes are done by artificial neural networking and optimization by genetic algorithm. For fitness function regression analysis has been performed. Design of experiment with mixed level L18 orthogonal array has been considered. All 18 experiments were performed on INCOLOY-800. Copper as an electrode considered. In this work TWR considered as the response variable. Dielectric fluid with two level; where current, pulse on time and gap voltage considered with three levels as the process parameters. 4-17-1-1 network considered in ANN by feed forward back propagation for process modelling. Two types of dielectric fluid considered as kerosene and EDM oil. For multi objective-optimization Genetic Algorithm used (GA). Keywords –Artificial neural network, genetic algorithm, machining time, material removal rate
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.
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
IRJET- Parametric Optimization of Powder Mixed Electronic Discharge Machine.IRJET Journal
The document summarizes a study that optimized the process parameters of powder mixed electrical discharge machining (PMEDM) to maximize material removal rate and minimize tool wear rate and surface roughness. Key parameters investigated included peak current, pulse on time, and aluminum powder concentration. Experiments were designed using Taguchi methodology and analyzed in MINITAB 18 software. The results showed that peak current had the greatest influence on material removal rate, while aluminum powder concentration had the greatest influence on tool wear rate and surface roughness. Recommended optimal parameter settings were determined through confirmation experiments.
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.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
performance study of electrochemical machining on metal matrix compositeNEERAJKUMAR1898
The document discusses performance studies of electrochemical machining (ECM) on metal matrix composites. It describes fabricating five different aluminum matrix composites using stir casting, including an Al 6061 alloy reinforced with 6% graphite and an Al 6061 alloy reinforced with 5% silicon carbide and 5% graphite. Experiments were conducted using Taguchi's design of experiments to determine the optimal ECM process parameters of voltage, electrolyte concentration, and frequency for maximizing material removal rate and minimizing overcut of the composites.
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...IRJET Journal
This document reviews research on improving the efficiency of electric discharge machining (EDM). EDM is a non-traditional machining process that uses electric sparks to machine hard conductive materials. Researchers have studied coating copper on tools to improve heat transfer and thus increase material removal rate and tool life. The document also summarizes several past studies that used techniques like Taguchi methods and fuzzy logic to optimize EDM process parameters like pulse on/off times and increase surface finish quality and reduce electrode wear. Overall, the review finds that modeling process parameters and using coatings on tools can improve the efficiency of EDM for precision machining of difficult materials.
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.
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.
IRJET- An Experimental Investigation of Material Removal Rate in Electric Dis...IRJET Journal
The document presents an experimental investigation into the effect of electric discharge machining (EDM) parameters on material removal rate (MRR) when machining heat-treated SK2MCr4 carbon tool steel. Experiments were conducted using a die-sinking EDM machine with a copper electrode. Current, pulse on time, and servo voltage were varied as parameters, while pulse off time was held constant. MRR was found to be most influenced by current, which contributed 64.29% to MRR. The optimal parameter combination for maximizing MRR was determined to be a current of 12 A, pulse on time of 60 μs, and servo voltage of 3 V.
A Review Study On Optimisation Of Process Of Wedm And Its DevelopmentIOSR Journals
This document provides a review of optimization techniques used to improve the process of wire electrical discharge machining (WEDM). It begins with an abstract summarizing the paper's focus on developing and optimizing WEDM processes. The introduction discusses key aspects of WEDM like operating parameters, material removal rate, surface finish, and electrode wear rate. It also outlines the working principle and a diagram of the WEDM process. The literature survey section summarizes several past studies that optimized WEDM parameters like pulse on/off time and current using techniques like the Taguchi method and response surface methodology. The conclusion is that more research could optimize parameters and responses for different materials and tool materials.
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.
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
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 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
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.
This document discusses predicting optimized EDM machining parameters through thermo-mechanical analysis. It begins with an abstract that outlines the goal of determining optimal machining parameters to maximize material removal rate in EDM of OHNS die steel. It then reviews relevant literature on thermal modeling and optimization of EDM processes. The problem statement indicates the challenges of determining optimal pulse duration, peak current, and voltage to increase material removal rate cost-effectively. The objectives are presented as determining parameters to maximize material removal rate and improve surface integrity of machined workpieces. Finally, the theoretical analysis section outlines the numerical modeling approach using finite element analysis and Joshi and Pande's thermal model of EDM sparks.
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
Influence of Powder Mixed Dielectric EDM on Response Variables and Methods to...IRJET Journal
This document reviews research on powder mixed electric discharge machining (PMEDM) to improve machining characteristics like material removal rate, tool wear ratio, and surface roughness. PMEDM involves mixing conductive powder into the dielectric fluid, which decreases the fluid's insulating strength and allows for easier removal of debris during machining. The powder particles form chains between the electrodes under sparking, creating a "bridging effect" that enhances material removal. The document discusses the technology and process mechanisms of PMEDM. It then reviews literature on the effects of different process parameters and powder materials on response variables. Finally, it discusses optimization techniques like Taguchi methods and response surface methodology that have been used to analyze experimental PMEDM results.
Optimization of Process Parameters for Deep Hole Drilling using Drill EDM for...IRJET Journal
The document discusses optimizing process parameters for deep hole drilling using electric discharge machining (EDM) on tungsten carbide. Experiments were conducted using a copper electrode to drill holes in tungsten carbide. The parameters of discharge current, pulse on time, and pulse off time were optimized using Taguchi methods to maximize machining rate and minimize electrode wear ratio. Grey relation analysis was used to determine a single optimized set of parameters that considers both responses. The optimal parameters found were a discharge current of 6A, pulse on time of 6μs, and pulse off time of 5μs.
Investigation of mrr in wedm for wc co sintered compositeIAEME Publication
The document investigates the influence of wire electrical discharge machining (WEDM) parameters on material removal rate when machining tungsten carbide-cobalt (WC-Co) sintered composite. Experiments were conducted using a response surface methodology with five control factors (pulse on-time, pulse off-time, peak current, servo voltage, and wire tension). The results were used to derive a mathematical model to predict material removal rate and optimize the WEDM process for machining WC-Co composite.
Investigation and modelling of edm process parameters in machining of incoloy...eSAT Journals
Abstract The experimentation has been performed on EDM for the modelling and optimization of the process parameters. In this work modelling of the processes are done by artificial neural networking and optimization by genetic algorithm. For fitness function regression analysis has been performed. Design of experiment with mixed level L18 orthogonal array has been considered. All 18 experiments were performed on INCOLOY-800. Copper as an electrode considered. In this work TWR considered as the response variable. Dielectric fluid with two level; where current, pulse on time and gap voltage considered with three levels as the process parameters. 4-17-1-1 network considered in ANN by feed forward back propagation for process modelling. Two types of dielectric fluid considered as kerosene and EDM oil. For multi objective-optimization Genetic Algorithm used (GA). Keywords –Artificial neural network, genetic algorithm, machining time, material removal rate
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.
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
IRJET- Parametric Optimization of Powder Mixed Electronic Discharge Machine.IRJET Journal
The document summarizes a study that optimized the process parameters of powder mixed electrical discharge machining (PMEDM) to maximize material removal rate and minimize tool wear rate and surface roughness. Key parameters investigated included peak current, pulse on time, and aluminum powder concentration. Experiments were designed using Taguchi methodology and analyzed in MINITAB 18 software. The results showed that peak current had the greatest influence on material removal rate, while aluminum powder concentration had the greatest influence on tool wear rate and surface roughness. Recommended optimal parameter settings were determined through confirmation experiments.
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.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
performance study of electrochemical machining on metal matrix compositeNEERAJKUMAR1898
The document discusses performance studies of electrochemical machining (ECM) on metal matrix composites. It describes fabricating five different aluminum matrix composites using stir casting, including an Al 6061 alloy reinforced with 6% graphite and an Al 6061 alloy reinforced with 5% silicon carbide and 5% graphite. Experiments were conducted using Taguchi's design of experiments to determine the optimal ECM process parameters of voltage, electrolyte concentration, and frequency for maximizing material removal rate and minimizing overcut of the composites.
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...IRJET Journal
This document reviews research on improving the efficiency of electric discharge machining (EDM). EDM is a non-traditional machining process that uses electric sparks to machine hard conductive materials. Researchers have studied coating copper on tools to improve heat transfer and thus increase material removal rate and tool life. The document also summarizes several past studies that used techniques like Taguchi methods and fuzzy logic to optimize EDM process parameters like pulse on/off times and increase surface finish quality and reduce electrode wear. Overall, the review finds that modeling process parameters and using coatings on tools can improve the efficiency of EDM for precision machining of difficult materials.
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.
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.
IRJET- An Experimental Investigation of Material Removal Rate in Electric Dis...IRJET Journal
The document presents an experimental investigation into the effect of electric discharge machining (EDM) parameters on material removal rate (MRR) when machining heat-treated SK2MCr4 carbon tool steel. Experiments were conducted using a die-sinking EDM machine with a copper electrode. Current, pulse on time, and servo voltage were varied as parameters, while pulse off time was held constant. MRR was found to be most influenced by current, which contributed 64.29% to MRR. The optimal parameter combination for maximizing MRR was determined to be a current of 12 A, pulse on time of 60 μs, and servo voltage of 3 V.
A Review Study On Optimisation Of Process Of Wedm And Its DevelopmentIOSR Journals
This document provides a review of optimization techniques used to improve the process of wire electrical discharge machining (WEDM). It begins with an abstract summarizing the paper's focus on developing and optimizing WEDM processes. The introduction discusses key aspects of WEDM like operating parameters, material removal rate, surface finish, and electrode wear rate. It also outlines the working principle and a diagram of the WEDM process. The literature survey section summarizes several past studies that optimized WEDM parameters like pulse on/off time and current using techniques like the Taguchi method and response surface methodology. The conclusion is that more research could optimize parameters and responses for different materials and tool materials.
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.
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
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 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
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.
This document discusses predicting optimized EDM machining parameters through thermo-mechanical analysis. It begins with an abstract that outlines the goal of determining optimal machining parameters to maximize material removal rate in EDM of OHNS die steel. It then reviews relevant literature on thermal modeling and optimization of EDM processes. The problem statement indicates the challenges of determining optimal pulse duration, peak current, and voltage to increase material removal rate cost-effectively. The objectives are presented as determining parameters to maximize material removal rate and improve surface integrity of machined workpieces. Finally, the theoretical analysis section outlines the numerical modeling approach using finite element analysis and Joshi and Pande's thermal model of EDM sparks.
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
Influence of Powder Mixed Dielectric EDM on Response Variables and Methods to...IRJET Journal
This document reviews research on powder mixed electric discharge machining (PMEDM) to improve machining characteristics like material removal rate, tool wear ratio, and surface roughness. PMEDM involves mixing conductive powder into the dielectric fluid, which decreases the fluid's insulating strength and allows for easier removal of debris during machining. The powder particles form chains between the electrodes under sparking, creating a "bridging effect" that enhances material removal. The document discusses the technology and process mechanisms of PMEDM. It then reviews literature on the effects of different process parameters and powder materials on response variables. Finally, it discusses optimization techniques like Taguchi methods and response surface methodology that have been used to analyze experimental PMEDM results.
Optimization of Process Parameters for Deep Hole Drilling using Drill EDM for...IRJET Journal
The document discusses optimizing process parameters for deep hole drilling using electric discharge machining (EDM) on tungsten carbide. Experiments were conducted using a copper electrode to drill holes in tungsten carbide. The parameters of discharge current, pulse on time, and pulse off time were optimized using Taguchi methods to maximize machining rate and minimize electrode wear ratio. Grey relation analysis was used to determine a single optimized set of parameters that considers both responses. The optimal parameters found were a discharge current of 6A, pulse on time of 6μs, and pulse off time of 5μs.
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%.
REVIEW PAPER ON EFFECT OF PROCESS PARAMETERS OF ECDM ON RESPONSE VARIABLES ijiert bestjournal
Electrochemical discharge machining is a versatile machining process for micro drilling,micro texturi ng,and micro grooving of variety of glasses,ceramics and compos ites. Electrochemical discharge machining (ECDM),a lso known as spark assisted chemical engraving (SACE),is an effective micro-machining process for non-con ducting materials. It has high demand in Micro Electro Mech anical System (MEMS) applications. In this present review Paper,a study of the effective Parameters of ECDM has been carried out with their specific role in Ma terial removal;Surface Finish and Tool wear Rate. The eff ects of the electrolyte,the pulse on/off-time rati o,the voltage,the feed rate,the rotational speed,and the electr olyte concentration in the drilling and milling pro cesses were studied.
IRJET- The Process of Edm Cutting Parameters Optimizing by using Taguchi Meth...IRJET Journal
The document discusses optimizing the parameters for wire electrical discharge machining (EDM) of Inconel 718 using the Taguchi method and analysis of variance (ANOVA). It aims to determine the optimal settings for wire feed rate, pulse on time, pulse off time, peak current, and servo voltage to maximize material removal rate, minimize kerf width and surface roughness. Experiments were conducted using two different wire materials - half hard brass wire and zinc-coated brass wire. The results showed that zinc-coated brass wire achieved a higher material removal rate and better surface finish compared to half hard brass wire. However, half hard brass wire produced a smaller kerf width. ANOVA was used to analyze the experimental data and determine the
A review paper on Optimization of process parameter of EDM for air hardening ...IJERA Editor
EDM is now more economical non convectional machining process. It is used widely used on small scale as well major industries. EDM process is affect by so many process parameter which are electrical and non electrical. In this project work the rotating tool is used to improve the Metal removal rate (MRR) and to observe its effect on surface finish. I am using Taguchi’s method as a design of experiments and response surface methodology for analysis and optimization. The machining parameters selected as a variables are pulse off time, pulse on time, servo voltage. The output measurement include MRR and surface roughness.
IRJET - Mathematical Modeling and Optimization of Process Parameters for EN31...IRJET Journal
This document summarizes a study that used response surface methodology to develop mathematical models for optimizing process parameters in electrical discharge machining (EDM) of En31 material. Experiments were conducted varying discharge current, voltage, and pulse on time. Material removal rate, tool wear rate, and surface roughness were measured. The goal was to maximize material removal rate and minimize tool wear and surface roughness. Optimum parameters were determined using D-optimal plots and ANOVA. Models developed using Minitab software can predict responses for different process parameters and materials in EDM.
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
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.
Optimization of Process Parameters of Powder Mixed Dielectric EDM for MRR and RaIRJET Journal
This document presents an experimental study on optimizing process parameters for powder mixed dielectric electric discharge machining (PMEDM) to maximize material removal rate (MRR) and minimize surface roughness (Ra). Taguchi methodology was used to design experiments using an L9 orthogonal array with discharge current, duty factor, spark gap, and graphite powder concentration as input variables. Regression analysis and grey relational analysis were conducted on the experimental results. The optimal parametric combination found was discharge current of 20A, duty factor of 5%, spark gap of 0.05mm, and graphite powder concentration of 6g/l, achieving a predicted MRR of 68.43mm3/min and Ra of 7.28μm,
This document provides a review of optimization techniques for the wire electrical discharge machining (WEDM) process. It begins with an introduction to WEDM, describing the working principle and important process parameters like pulse width, time between pulses, servo reference voltage, and wire tension. The document then reviews literature on optimization methods that have been used to maximize material removal rate while minimizing electrode wear rate. Specifically, it discusses two studies that used Taguchi's design of experiments approach and desirability functions to optimize cutting conditions for different materials like minimizing wear rate and maximizing material removal rate in WEDM.
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)
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET- Advance Manufacturing Processes Review Part IV: Electrical Dischar...IRJET Journal
1) Electrical discharge machining (EDM) is a non-traditional machining process that uses electric sparks to erode conductive materials.
2) EDM can machine hard materials like steel and super alloys regardless of their hardness by melting and vaporizing small amounts of material with each electric spark.
3) The document reviews research on EDM process parameters and their effects on material removal rate, surface roughness, and tool wear. It also summarizes recent research trends in EDM like ultrasonic vibration-assisted EDM and EDM in water.
Experimental Study of Static and Rotary Electrode on Electrical Discharge Mac...IRJET Journal
This document summarizes an experimental study on the effects of static and rotary graphite electrodes on electrical discharge machining (EDM). Experiments were conducted using a graphite electrode to machine copper-nickel alloy with both static and rotary electrodes. Material removal rate (MRR), tool wear rate (TWR), and surface roughness (Ra) were analyzed at different discharge currents for both static and rotary electrodes. The results showed that MRR and TWR increased with increasing discharge current and were higher for the rotary electrode, while surface roughness was lower for the rotary electrode. In conclusion, a rotary graphite electrode provided better surface quality and higher MRR but also higher TWR compared to a static electrode.
Comparative study on variation of process characteristics on al and die steel...IAEME Publication
This document presents the results of an experimental study on the influence of electrical discharge machining (EDM) parameters on process characteristics when machining aluminum (Al) and die steel components. Specifically, it examines the effect of changing current on material removal rate, tool wear ratio, and surface roughness for the two materials. The results showed that increasing current from 10A to 20A led to higher material removal rates and tool wear ratios for both Al and die steel. It also resulted in increased surface roughness parameters (average roughness, average maximum height, maximum roughness depth) for the machined surfaces of both materials. The findings provide information on selecting optimal current parameters to achieve desired EDM efficiency and surface finish when machining Al and die steel
Similar to Optimization of MRR and SR by employing Taguchis and ANOVA method in EDM (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.