This document discusses optimizing welding parameters for joining dissimilar metals using manual metal arc welding and an artificial neural fuzzy interface system. Experimental results were analyzed using regression analysis to develop mathematical models relating welding current, voltage, speed, and electrode angle to weld strength and metal deposition rate. An artificial neural network was trained on the experimental data and used to predict the optimal parameters to achieve the highest weld strength. Validation experiments showed the artificial neural fuzzy interface system successfully optimized the welding parameters.
Micron range complex structure in micro electrochemical machining- a revieweSAT Journals
This document provides a review of electrochemical micro-machining (EMM) including 16 studies that investigated various parameters of the EMM process. The studies examined parameters like voltage, electrolyte concentration, tool size, pulse characteristics, and more. The key outputs measured included material removal rate, overcut, surface roughness, hole diameter and depth ratios. EMM is able to machine complex shapes with high accuracy and surface finish without thermal or mechanical stresses.
Review Article on Machining of Nickel-Based Super Alloys by Electric Discharg...sushil Choudhary
Electric discharge machining (EDM) process generally used for burrs free, less metallurgical damage, stress free and very precise machining and produces mould cavity, deep holes, complex shapes & size by arc erosion in all types of electro-conductive materials. In this process, the metal is removed from the work piece due to erosion caused by rapidly recurring spark discharge taking place between the tool electrode and work-piece. Tool electrode and wok-piece both submersed into the dielectric fluid. The main aims of this review paper work is to present the consolidated information about the contribution of various researchers on the machining applications of electric discharge machining process on Nickel-Base Super alloys materials, utilization of various tool and techniques for correlating experiment results and applications of product through the EDM. Nickel-Base Super alloys materials is widely used for fuel tanks, aircraft & rocket engine components, nuclear fuel element spacers, casings, fasteners, rings, seal, measuring instrument, cryogenic storage tanks and automobile components etc.
The document describes a study that developed an artificial neural network (ANN) model to predict surface roughness, cutting force, and temperature during machining of Nimonic-75 and Nicrofer C-263 super alloys. Experiments were conducted to collect input/output data on cutting speed, feed rate, depth of cut, surface roughness, cutting force, and temperature. The ANN model was trained on this data and could accurately model the complex relationships between cutting conditions and output parameters for process analysis and optimization.
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
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
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.
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.
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.
Micron range complex structure in micro electrochemical machining- a revieweSAT Journals
This document provides a review of electrochemical micro-machining (EMM) including 16 studies that investigated various parameters of the EMM process. The studies examined parameters like voltage, electrolyte concentration, tool size, pulse characteristics, and more. The key outputs measured included material removal rate, overcut, surface roughness, hole diameter and depth ratios. EMM is able to machine complex shapes with high accuracy and surface finish without thermal or mechanical stresses.
Review Article on Machining of Nickel-Based Super Alloys by Electric Discharg...sushil Choudhary
Electric discharge machining (EDM) process generally used for burrs free, less metallurgical damage, stress free and very precise machining and produces mould cavity, deep holes, complex shapes & size by arc erosion in all types of electro-conductive materials. In this process, the metal is removed from the work piece due to erosion caused by rapidly recurring spark discharge taking place between the tool electrode and work-piece. Tool electrode and wok-piece both submersed into the dielectric fluid. The main aims of this review paper work is to present the consolidated information about the contribution of various researchers on the machining applications of electric discharge machining process on Nickel-Base Super alloys materials, utilization of various tool and techniques for correlating experiment results and applications of product through the EDM. Nickel-Base Super alloys materials is widely used for fuel tanks, aircraft & rocket engine components, nuclear fuel element spacers, casings, fasteners, rings, seal, measuring instrument, cryogenic storage tanks and automobile components etc.
The document describes a study that developed an artificial neural network (ANN) model to predict surface roughness, cutting force, and temperature during machining of Nimonic-75 and Nicrofer C-263 super alloys. Experiments were conducted to collect input/output data on cutting speed, feed rate, depth of cut, surface roughness, cutting force, and temperature. The ANN model was trained on this data and could accurately model the complex relationships between cutting conditions and output parameters for process analysis and optimization.
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
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
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.
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.
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.
A Literature Review on Effect of Machining Parameters in Wire - EDMijsrd.com
The recent upgradation of newer and harder materials has made the machining task in WEDM quite challenging. Thus for the optimum use of all the resources it is essential to make the optimum use of parameters to get the best output to increase the productivity. Advances in technology have impacted with an increased cutting speed and tight tolerances in WEDM. This paper reviews the various notable works in field of WEDM and magnifies on effect of machining parameters on MRR, kerf width and surface roughness.
Study of surface roughness for discontinuous ultrasonic vibration assisted el...eSAT Journals
Abstract The objective of this paper is to study the effects of response parameters on the performance characteristics in the Ultrasonic vibration Assisted Electric Discharge Machining (UEDM) Process. Response Surface Methodology (RSM) is used to investigate the effect of amplitude of vibration, peak current, pulse on-time, machining time and flushing pressure. To study the proposed second order polynomial model for surface roughness (SR), a Central Composite Design (CCD) is used for the estimation of the model coefficients of five factors, which are believed to influence the SR in UEDM process. Experiments are conducted on Aluminum alloy 6063 with copper electrode. The response is modeled on experimental data by using RSM. The separable influence of individual machining parameters and the interaction between these parameters are also investigated by using analysis of variance (ANOVA). It is found that amplitude of vibration, peak current; pulse-on time, flushing pressure and most of their interactions have significant affect on SR. Keywords: Central Composite Design, SR, UEDM, RSM, Aluminum alloy (Al6063)
Optimization of electrical discharge machiningrakigeo01
This document summarizes a study that used the Taguchi method to optimize the electrical discharge machining (EDM) process for machining tungsten carbide composite. The researchers investigated how EDM process parameters affected material removal rate, electrode wear ratio, and microcrack density on the surface. They conducted experiments using an orthogonal array design from Taguchi methods. Analysis of variance was used to determine the most influential parameters and their optimal levels to maximize material removal rate while minimizing electrode wear ratio and microcrack density.
The document summarizes research on controlling tool wear during electrical discharge machining (EDM). It discusses how tool wear reduces accuracy by diminishing feature sharpness and increases costs. The research aims to identify factors influencing the rate of tool wear and optimize parameters like current and pulse time to minimize wear of copper electrodes. It reviews past studies on improving material removal rate and reducing tool wear rate through techniques like using powder metallurgy to create copper-tungsten electrodes and implementing Taguchi methods for optimization. The presented research will experimentally validate solutions for controlling tool wear during EDM of copper electrodes.
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 an experimental study analyzing the influence of control parameters on material removal rate (MRR) in electrical discharge machining (EDM) using signal-to-noise (S/N) ratio and analysis of variance (ANOVA). Experiments were conducted using different electrode and workpiece materials under varying levels of control parameters including electrode speed, current, and depth of cut. MRR values were measured and S/N ratios were calculated to determine the optimal control parameter settings for maximizing MRR. The results indicate that control parameters have a significant effect on MRR in EDM, and S/N ratio and ANOVA analysis can help identify parameters and levels that improve process performance.
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.
Optimizing the process parameters of friction stir welded joint of magnesium ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
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
IRJET- Influence of Process Parameters on Welded Joint by Laser Beam WeldingIRJET Journal
The document discusses optimizing process parameters for laser beam welding. It examines how laser power, welding speed, and diameter of the laser beam influence tensile strength, weld hardness, and percentage elongation in welded joints. Experiments were conducted using stainless steel plates welded with varying levels of the three parameters. Tensile strength, hardness, and elongation results were highest when using a laser power of 350W, welding speed of 0.5mm/sec, and diameter of 0.40mm. The proposed Taguchi method and gray relational analysis provide an effective way to optimize welding quality without extensive experimentation.
This document describes a new method for manufacturing micro-lens arrays using contactless micro-embossing with a micro-electrical discharge machining (micro-EDM) mold. Ring compression tests were conducted to determine the friction coefficient between polymethyl methacrylate (PMMA) and the mold under varying temperatures. A micro-EDM process was used to fabricate micro-hole arrays in a SKD-11 mold insert. Contactless embossing was then used to produce micro-lens arrays from PMMA sheets at different processing parameters. Analysis of the micro-lens arrays found that the radius of curvature and local length could be controlled by adjusting the embossing temperature, force, and holding time.
MULTI RESPONSE OPTIMISATION OF DIE SINKER EDM FOR ALSIC COMPOSITE IAEME Publication
On e of the important aspects that should be taken into consideration in the majority of manufacturing processes and, particularly, in processes related to Electrical Discharge Machining (EDM) is the correct selection of manufacturing conditions. Appropriate choice of the machining parameters and electrode material during electric discharge machining is fundamental to its performance and accuracy.
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.
Algorithm for Modeling Unconventional Machine Tool Machining Parameters using...IDES Editor
Unconventional machining process finds a lot of
application in aerospace and precision industries. It is
preferred over other conventional methods because of the
advent of composite and high strength to weight ratio
materials, complex parts and also because of its high accuracy
and precision. Usually in unconventional machine tools, trial
and error method is used to fix the values of process
parameters. In the proposed work an algorithm which is
developed using Artificial Neural Network (ANN) is proposed
to create mathematical model functionally relating process
parameters and operating parameters of any unconventional
machine tool. This is accomplished by training a feed forward
network with back propagation learning algorithm. The
required data which are used for training and testing the ANN
in the case study is obtained by conducting trial runs in EBW
machine. By adopting the proposed algorithm there will be a
reduction in production time and set-up time along with
reduction in manufacturing cost in unconventional machining
processes. This in general increases the overall productivity.
The programs for training and testing the neural network are
developed, using MATLAB package
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.
The document summarizes research on the micro-EDM process parameters for machining nickel-titanium shape memory alloys. It discusses how the micro-EDM process works based on electrical discharges that vaporize material in a small gap between the electrode and workpiece. The research investigated the effects of capacitance, discharge voltage, and electrode material on the material removal rate and tool wear rate during micro-EDM of nickel-titanium alloys. It found that material removal rate increased with higher capacitance and discharge voltage, and was better with a brass electrode than tungsten. Tool wear rate also increased with higher capacitance and voltage but was lower at lower energy levels and with a tungsten electrode.
Investigation on process response and parameters in wire electrical discharge...IAEME Publication
This document summarizes a study that investigated the effects of process parameters on performance measures during wire electrical discharge machining (WEDM) of Inconel 625. The study considered the effects of pulse-on time, pulse-off time, upper flush, lower flush, wire feed, and wire tension on cutting width, electrode wear, and hardness. Experiments were conducted using an orthogonal array design and relationships between the control factors and responses were established through regression analysis. The results showed good agreement between experimental and predicted values of the performance measures.
This document provides a dissertation on investigating the machining characteristics of titanium alloy (Ti-6Al-4V) using the electrical discharge machining (EDM) process. The dissertation includes an introduction to traditional and non-traditional machining processes. It then focuses on EDM, including the history, types, principles, parameters, materials, advantages, and limitations. The methodology section describes the materials, equipment, experimental design using Taguchi methods, and parameters/levels studied. Results and discussions are presented on material removal rate, tool wear rate, surface roughness, and microhardness based on experiments. Finally, conclusions are drawn and scope for future work is discussed.
The document discusses using a genetic algorithm approach to optimize process parameters in laser beam welding of Inconel. Experiments were conducted varying pulse duration, pulse frequency, welding speed, and pulse energy. Response surface methodology was used to develop mathematical models relating the weld bead geometry (penetration, width, volume) to the process parameters. The models are then used with a genetic algorithm to optimize the total bead volume while keeping the other geometry parameters within constraints, in order to produce high quality welds efficiently. In summary, the proposed methodology enables determining optimal process settings for different production needs and potentially automating the welding process.
Optimization of the welding parameters in resistance spot weldingIAEME Publication
This document summarizes an analysis of resistance spot welding parameters on CRCA steel sheets using Taguchi methods. The authors conducted experiments varying welding current, electrode force, and welding time according to an L9 orthogonal array. Tensile shear strength was evaluated as the output parameter. Analysis of variance found welding current to be the most influential parameter, contributing 49.72% to strength. Optimal parameters were determined to be high current of 13.5 kA, medium electrode force of 4 kN, and high welding time of 10 seconds. Taguchi methods allowed determination of optimal resistance spot welding parameters for maximum tensile shear strength.
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...ijsrd.com
Welding is a manufacturing process, which is carried out for joining of metals. By MIG Welding it is possible to weld in all positions. Optimization of the parameter will be carried out by Taguchi method. We will use EN-8 material which is more use in Automobile parts. EN8 plate with dimensions 250mm x 125mm x 6mm with V- Groove 650.Where the input parameters are welding current, Wire feed and gas flow rate and output parameters are tensile strength and Hardness.
Investigation on process response and parameters in wire electricalIAEME Publication
This document summarizes a study that investigated the effects of process parameters on wire electrical discharge machining (WEDM) of Inconel 625. The study used Taguchi's design of experiments methodology to determine the optimal levels of six machining parameters (pulse-on time, pulse-off time, wire feed, upper flush, lower flush, wire tension) for minimizing kerf width, electrode wire wear, and maximizing surface hardness. Twenty-five experiments were conducted according to an L25 orthogonal array. Regression analysis was used to establish relationships between the process parameters and responses. The results showed good agreement between experimental and predicted values, demonstrating the methodology can determine optimal machining conditions for WEDM of Inconel
A Literature Review on Effect of Machining Parameters in Wire - EDMijsrd.com
The recent upgradation of newer and harder materials has made the machining task in WEDM quite challenging. Thus for the optimum use of all the resources it is essential to make the optimum use of parameters to get the best output to increase the productivity. Advances in technology have impacted with an increased cutting speed and tight tolerances in WEDM. This paper reviews the various notable works in field of WEDM and magnifies on effect of machining parameters on MRR, kerf width and surface roughness.
Study of surface roughness for discontinuous ultrasonic vibration assisted el...eSAT Journals
Abstract The objective of this paper is to study the effects of response parameters on the performance characteristics in the Ultrasonic vibration Assisted Electric Discharge Machining (UEDM) Process. Response Surface Methodology (RSM) is used to investigate the effect of amplitude of vibration, peak current, pulse on-time, machining time and flushing pressure. To study the proposed second order polynomial model for surface roughness (SR), a Central Composite Design (CCD) is used for the estimation of the model coefficients of five factors, which are believed to influence the SR in UEDM process. Experiments are conducted on Aluminum alloy 6063 with copper electrode. The response is modeled on experimental data by using RSM. The separable influence of individual machining parameters and the interaction between these parameters are also investigated by using analysis of variance (ANOVA). It is found that amplitude of vibration, peak current; pulse-on time, flushing pressure and most of their interactions have significant affect on SR. Keywords: Central Composite Design, SR, UEDM, RSM, Aluminum alloy (Al6063)
Optimization of electrical discharge machiningrakigeo01
This document summarizes a study that used the Taguchi method to optimize the electrical discharge machining (EDM) process for machining tungsten carbide composite. The researchers investigated how EDM process parameters affected material removal rate, electrode wear ratio, and microcrack density on the surface. They conducted experiments using an orthogonal array design from Taguchi methods. Analysis of variance was used to determine the most influential parameters and their optimal levels to maximize material removal rate while minimizing electrode wear ratio and microcrack density.
The document summarizes research on controlling tool wear during electrical discharge machining (EDM). It discusses how tool wear reduces accuracy by diminishing feature sharpness and increases costs. The research aims to identify factors influencing the rate of tool wear and optimize parameters like current and pulse time to minimize wear of copper electrodes. It reviews past studies on improving material removal rate and reducing tool wear rate through techniques like using powder metallurgy to create copper-tungsten electrodes and implementing Taguchi methods for optimization. The presented research will experimentally validate solutions for controlling tool wear during EDM of copper electrodes.
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 an experimental study analyzing the influence of control parameters on material removal rate (MRR) in electrical discharge machining (EDM) using signal-to-noise (S/N) ratio and analysis of variance (ANOVA). Experiments were conducted using different electrode and workpiece materials under varying levels of control parameters including electrode speed, current, and depth of cut. MRR values were measured and S/N ratios were calculated to determine the optimal control parameter settings for maximizing MRR. The results indicate that control parameters have a significant effect on MRR in EDM, and S/N ratio and ANOVA analysis can help identify parameters and levels that improve process performance.
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.
Optimizing the process parameters of friction stir welded joint of magnesium ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
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
IRJET- Influence of Process Parameters on Welded Joint by Laser Beam WeldingIRJET Journal
The document discusses optimizing process parameters for laser beam welding. It examines how laser power, welding speed, and diameter of the laser beam influence tensile strength, weld hardness, and percentage elongation in welded joints. Experiments were conducted using stainless steel plates welded with varying levels of the three parameters. Tensile strength, hardness, and elongation results were highest when using a laser power of 350W, welding speed of 0.5mm/sec, and diameter of 0.40mm. The proposed Taguchi method and gray relational analysis provide an effective way to optimize welding quality without extensive experimentation.
This document describes a new method for manufacturing micro-lens arrays using contactless micro-embossing with a micro-electrical discharge machining (micro-EDM) mold. Ring compression tests were conducted to determine the friction coefficient between polymethyl methacrylate (PMMA) and the mold under varying temperatures. A micro-EDM process was used to fabricate micro-hole arrays in a SKD-11 mold insert. Contactless embossing was then used to produce micro-lens arrays from PMMA sheets at different processing parameters. Analysis of the micro-lens arrays found that the radius of curvature and local length could be controlled by adjusting the embossing temperature, force, and holding time.
MULTI RESPONSE OPTIMISATION OF DIE SINKER EDM FOR ALSIC COMPOSITE IAEME Publication
On e of the important aspects that should be taken into consideration in the majority of manufacturing processes and, particularly, in processes related to Electrical Discharge Machining (EDM) is the correct selection of manufacturing conditions. Appropriate choice of the machining parameters and electrode material during electric discharge machining is fundamental to its performance and accuracy.
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.
Algorithm for Modeling Unconventional Machine Tool Machining Parameters using...IDES Editor
Unconventional machining process finds a lot of
application in aerospace and precision industries. It is
preferred over other conventional methods because of the
advent of composite and high strength to weight ratio
materials, complex parts and also because of its high accuracy
and precision. Usually in unconventional machine tools, trial
and error method is used to fix the values of process
parameters. In the proposed work an algorithm which is
developed using Artificial Neural Network (ANN) is proposed
to create mathematical model functionally relating process
parameters and operating parameters of any unconventional
machine tool. This is accomplished by training a feed forward
network with back propagation learning algorithm. The
required data which are used for training and testing the ANN
in the case study is obtained by conducting trial runs in EBW
machine. By adopting the proposed algorithm there will be a
reduction in production time and set-up time along with
reduction in manufacturing cost in unconventional machining
processes. This in general increases the overall productivity.
The programs for training and testing the neural network are
developed, using MATLAB package
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.
The document summarizes research on the micro-EDM process parameters for machining nickel-titanium shape memory alloys. It discusses how the micro-EDM process works based on electrical discharges that vaporize material in a small gap between the electrode and workpiece. The research investigated the effects of capacitance, discharge voltage, and electrode material on the material removal rate and tool wear rate during micro-EDM of nickel-titanium alloys. It found that material removal rate increased with higher capacitance and discharge voltage, and was better with a brass electrode than tungsten. Tool wear rate also increased with higher capacitance and voltage but was lower at lower energy levels and with a tungsten electrode.
Investigation on process response and parameters in wire electrical discharge...IAEME Publication
This document summarizes a study that investigated the effects of process parameters on performance measures during wire electrical discharge machining (WEDM) of Inconel 625. The study considered the effects of pulse-on time, pulse-off time, upper flush, lower flush, wire feed, and wire tension on cutting width, electrode wear, and hardness. Experiments were conducted using an orthogonal array design and relationships between the control factors and responses were established through regression analysis. The results showed good agreement between experimental and predicted values of the performance measures.
This document provides a dissertation on investigating the machining characteristics of titanium alloy (Ti-6Al-4V) using the electrical discharge machining (EDM) process. The dissertation includes an introduction to traditional and non-traditional machining processes. It then focuses on EDM, including the history, types, principles, parameters, materials, advantages, and limitations. The methodology section describes the materials, equipment, experimental design using Taguchi methods, and parameters/levels studied. Results and discussions are presented on material removal rate, tool wear rate, surface roughness, and microhardness based on experiments. Finally, conclusions are drawn and scope for future work is discussed.
The document discusses using a genetic algorithm approach to optimize process parameters in laser beam welding of Inconel. Experiments were conducted varying pulse duration, pulse frequency, welding speed, and pulse energy. Response surface methodology was used to develop mathematical models relating the weld bead geometry (penetration, width, volume) to the process parameters. The models are then used with a genetic algorithm to optimize the total bead volume while keeping the other geometry parameters within constraints, in order to produce high quality welds efficiently. In summary, the proposed methodology enables determining optimal process settings for different production needs and potentially automating the welding process.
Optimization of the welding parameters in resistance spot weldingIAEME Publication
This document summarizes an analysis of resistance spot welding parameters on CRCA steel sheets using Taguchi methods. The authors conducted experiments varying welding current, electrode force, and welding time according to an L9 orthogonal array. Tensile shear strength was evaluated as the output parameter. Analysis of variance found welding current to be the most influential parameter, contributing 49.72% to strength. Optimal parameters were determined to be high current of 13.5 kA, medium electrode force of 4 kN, and high welding time of 10 seconds. Taguchi methods allowed determination of optimal resistance spot welding parameters for maximum tensile shear strength.
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...ijsrd.com
Welding is a manufacturing process, which is carried out for joining of metals. By MIG Welding it is possible to weld in all positions. Optimization of the parameter will be carried out by Taguchi method. We will use EN-8 material which is more use in Automobile parts. EN8 plate with dimensions 250mm x 125mm x 6mm with V- Groove 650.Where the input parameters are welding current, Wire feed and gas flow rate and output parameters are tensile strength and Hardness.
Investigation on process response and parameters in wire electricalIAEME Publication
This document summarizes a study that investigated the effects of process parameters on wire electrical discharge machining (WEDM) of Inconel 625. The study used Taguchi's design of experiments methodology to determine the optimal levels of six machining parameters (pulse-on time, pulse-off time, wire feed, upper flush, lower flush, wire tension) for minimizing kerf width, electrode wire wear, and maximizing surface hardness. Twenty-five experiments were conducted according to an L25 orthogonal array. Regression analysis was used to establish relationships between the process parameters and responses. The results showed good agreement between experimental and predicted values, demonstrating the methodology can determine optimal machining conditions for WEDM of Inconel
Investigation on process response and parameters in wire electricaliaemedu
This document summarizes a study that investigated the effects of process parameters on performance measures during wire electrical discharge machining (WEDM) of Inconel 625. The study considered the effects of pulse-on time, pulse-off time, upper flush, lower flush, wire feed, and wire tension on cutting width, electrode wear, and hardness. Experiments were conducted using an orthogonal array design and relationships between the control factors and responses were established through regression analysis. The results showed good agreement between experimental and predicted values of the performance measures.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Artificial Neural Network based Monitoring of Weld Quality in Pulsed Metal In...IRJET Journal
This document presents research on using artificial neural networks (ANN) to monitor weld quality in pulsed metal inert gas welding. Experiments were conducted using different welding parameters to collect voltage and current sensor data. Statistical and wavelet packet features were extracted from the sensor signals. Regression models and backpropagation neural networks (BPNN) were developed to predict weld quality characteristics like joint strength and hardness variation. BPNN models using wavelet packet coefficients of current signals were found to improve prediction of joint strength compared to regression models. The research aims to develop intelligent monitoring of weld quality using ANN and sensor signal analysis.
This document summarizes an investigation into the effects of machining parameters on the surface finish and material removal rate when machining an aluminum-copper alloy (AL6351) using wire electric discharge machining (WEDM). The study uses Taguchi's design of experiments method to analyze the effects of pulse on-time, pulse off-time, and peak current. Sixteen experiments were conducted and the material removal rate and surface roughness were measured. The results were analyzed using ANOVA to determine the most significant parameters for improving surface finish and removal rate. The goal of the research was to optimize the WEDM process for machining AL6351 alloy.
Study of brass wire and cryogenic treated brass wire on titanium alloy using ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
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.
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.
Effect of welding parameter on micro hardness of synergic mig welding ofIAEME Publication
This document summarizes a study on the effect of welding parameters on the microhardness of gas metal arc welds on 304L austenitic stainless steel. Bead-on-plate welds were produced using various gas flow rates, voltages, wire feed rates, and travel speeds. Knoop microhardness measurements were taken across the weld bead and base material. The maximum microhardness values were found in the heat-affected zone due to its finer grain size and higher pearlite content compared to the weld zone and base metal. Increasing the current and voltage resulted in a mixed spray and short circuiting metal transfer mode and improved weld bead appearance.
Study of mechanical properties in mild steel using metal inert gas weldingeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Optimization of Laser Welding Parameters: A ReviewIRJET Journal
This document reviews research on optimizing laser welding parameters. It summarizes 10 studies that investigated how varying parameters like laser power, welding speed, focal length, and shielding gas affected weld characteristics for different materials. Most found laser power and welding speed were most significant and that their combination mainly determines weld quality. Optimal parameters depended on the material and goals for responses like weld width, penetration, and strength. The studies used techniques like factorial design of experiments, response surface methodology, and Taguchi methods to optimize parameters and reduce defects for applications like welding steel, titanium alloys, and dissimilar metals.
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).
Wire electrical discharge machining (WEDM) is a specialized thermal machining process
capable of accurately machining parts of hard materials with complex shapes. Response surface
methodology (RSM) with central composite design is selected for experimentation. In the present
work, four factors are taken as input parameters, and the effect of these parameters on MRR are
studied. The influence of the input parameters on response in WEDM process has been examined.
The input parameters are Pulse on time (Ton), Pulse off time (Toff), Servo voltage (SV) and peak
current (IP). The experiments have been performed on high chromium high carbon steel with a wire
of diameter 0.2 mm and the obtained data has been analyzed with the help of RSM using design
expert software. The work piece material was a high carbon high chromium (HCHCr) die steel with
excellent wear resistance, hot toughness and good thermal shock resistance. The experiments shows
that Pulse on time (Ton), Pulse off time (Toff), Servo voltage (SV) and peak current (IP) influence
MRR. Results show that machining speed increases with increase in the pulse on-time and the pulse
off-time increases as the number of discharges within given period of time decreases. Moreover,
there is not much influence of servo voltage on MRR and it increases very slightly with increase in
peak current. Also, as the Ton increases the MRR increases and as Toff increases MRR decreases.
This is because as Ton increases number of sparks per unit time increases and as Toff increases the
sparks per unit time decreases.
This document describes a study that uses Taguchi methods to optimize submerged arc welding (SAW) parameters. Experiments were conducted using mild steel with welding current, arc voltage, and welding speed as parameters. A Taguchi L9 orthogonal array was used to design the experiments. Regression analysis found that welding current had the largest effect on bead width, the quality characteristic examined. The optimal parameters found were 600A current, 32V voltage, 450mm/min speed, and 28mm electrode stick out. This provided the highest signal-to-noise ratio, minimizing variability to achieve the desired weld bead width.
This document summarizes an experimental study on the effect of process parameters on surface roughness in wire electrical discharge machining (WEDM) of die steel D3. The parameters studied were pulse-on time, gap voltage, and wire feed rate. Using an L27 orthogonal array and Taguchi method, experiments were conducted and the surface roughness was measured. Analysis of variance showed that pulse-on time was the most significant factor affecting surface roughness. An artificial neural network was developed to model the relationship between the process parameters and surface roughness. Training data from 23 of the experiments was used to train the neural network model.
Development of grnn based tool for hardness measurement of homogeneousIAEME Publication
This document describes the development of a Generalized Regression Neural Network (GRNN) model to relate vibration parameters to the hardness of homogenous welded joints under vibratory welding conditions. Physical experiments were conducted on welded steel joints where vibration was applied during welding. The voltage and time of vibration were the input parameters and hardness values at different joint locations were the output parameters. A GRNN model was created using experimental data and calibrated against unused data, achieving 97-99% accuracy, to predict hardness based on vibration parameters. The model provides an effective tool for analyzing the relationship between vibration welding inputs and mechanical property outputs.
Effect Of Wire Edm Process Parameters On Surface Roughness Of Aisi-4140 (Carb...dbpublications
WEDM is used for cutting intricate or complicated shapes which are not possible with conventional machining methods. Wire cut EDM is a cutting process used widely where conventional machining processes are not useful. A metal wire with a Dielectric medium travels through a path and perform machining procedure .The main objective of the present work is to investigate the effects of various WEDM process parameters on the machining quality and to obtain the optimal sets of process parameters like Pulse-ON time, Pulse-OFF time, current, wire feed are studied by conducting an experiment. Taguchi Method is to design the experiment. L16 orthogonal array is used to conduct the experiment. An AISI-4140 (carbon steel) is used as a work piece material in the form of square bar. The surface roughness (SR) is selected as response variable.
Similar to Effect of the welding process parameter in mmaw for joining of dissimilar metals (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.