scholarly journals Determination of Multi-performance Characteristics in Electric Discharge Machining of DIN 1.2767 Steel Using Grey Relational Analysis

2021 ◽  
Vol 9 (1) ◽  
pp. 1-7
Author(s):  
Abubaker Y. Fatatit ◽  
Ali Kalyon
Keyword(s):  
Process Parameters ◽  
Electric Discharge ◽  
Removal Rate ◽  
Machining Process ◽  
Gray Relational Analysis ◽  
Machining Processes ◽  
Electric Discharge Machining ◽  
Relational Analysis ◽  
Pulse On Time ◽  
Pulse Off Time

   Electric discharge machining (EDM) is one of the most important unconventional machining processes, which can cut hard materials and complex shapes that are difficult to machine by conventional machining processes easily and with high accuracy. In this study, L18 orthogonal array combined with gray relational analysis (GRA) is implemented to investigate the multiple performances characteristics in EDM of DIN 1.2767 Tool Steel. Machining process parameters selected were discharge current (Ip), pulse-on time (Ton), pulse-off time (Toff), and electrode material (copper alloys [NSS and B2]). The investigated performances characteristics were tool wear rate (TWR) and material removal rate (MRR). Analysis of variance (ANOVA) and Taguchi’s signal-to-noise ratio with the help of Minitab-17 software were used to analysis the effect of the process parameters on TWR and MRR. The experimental results and data analysis reveal that TWR and MRR are more affected by Ip and Ton. The minimum TWR was obtained at parametric combination Ip (6A), Ton (800 μs), and Toff (800 μs) and the maximum MRR attained at Ip (25A), Ton (800 μs), Toff (200 μs), and NSS electrode. After applying GRA, the optimal parametric combination for MRR and TWR was determined as Ip (25A), Ton (800 μs), Toff (200 μs), and NSS electrode. The study also exhibited the occurrence of an interaction between the variables on the responses. In addition, scanning electron microscopy images showed that the metal surface was affected with the increase in Ton and Toff.

Multi-Objective Optimization of Machining Process Parameters in Wire-Cut Electric Discharge Machining of Inconel X750 Alloy by Combinatorial Approach

2019 ◽  
Vol 969 ◽  
pp. 781-786 ◽  
Author(s):  
G. Venkata Ajay Kumar ◽  
M. Shilpa ◽  
Udagave Shital Purander ◽  
G. Madhoo ◽  
V. Asokan
Keyword(s):  
Process Parameters ◽  
Electric Discharge ◽  
Removal Rate ◽  
High Hardness ◽  
Machining Process ◽  
Machining Processes ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Conventional Machining

Difficult-to-cut materials, generally high hardness, strength and toughness, are generally difficult to machine in conventional machining. Also tool wear is high in conventional machining processes. Wire Cut Electric Discharge (WEDM) machining is particularly used for machining complex profiles, demanding very high accuracy. The current work focuses on the optimization of roughness of a surface that is machined using WEDM; the process parameters considered for optimization are pulse-on-time (Pon), pulse-off time (Poff), wire feedrate (WFR) and spark gap voltage (SGV). One of the surface integrity aspect is considered as surface roughness (SR) and other related to machining output considered as material removal rate (MRR) for the output responses. The paper presents, a multi-criteria decision making technique, with Grey Relational Analysis (GRA) integrated with Particle Swarm Optimization (PSO) for optimizing the process parameters. Further, confirmation tests that were conducted also validated the improvement in SR and MRR.

Experimental Investigation of Sunflower Oil as Dielectric Fluid in Die Sinking Electric Discharge Machining Process

2019 ◽  
Vol 969 ◽  
pp. 715-719
Author(s):  
G. Gowtham Reddy ◽  
Balasubramaniyan Singaravel ◽  
K. Chandra Shekar
Keyword(s):  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Dielectric Fluid ◽  
Machining Performance ◽  
Electric Discharge Machining ◽  
Dielectric Fluids ◽  
Pulse On Time ◽  
Pulse Off Time

Electric Discharge Machining (EDM) is used to machine complex geometries of difficult to cut materials in the area of making dies, mould and tools. Currently, hydrocarbon based dielectric fluids are used in EDM and which plays major role for material removal and it emits harmful emission. In this work, vegetable oil is attempted as dielectric fluid and their performance are studied during processing of AISI P20 steel. The effect of pulse on time (Pon) , pulse off time (Poff), and current (A) on Material Removal Rate (MRR), Tool wear rate (TWR) and surface roughness (SR) are analyzed. The result showed that vegetable oils are given good machining performance than conventional dielectric fluids. These proposed dielectric fluids are biodegradable eco friendly and enhance sustainability in EDM process.

Optimization of Machining Parameters in Rotary EDM Process Using Copper Tungsten Electrode

2015 ◽  
Vol 813-814 ◽  
pp. 368-375
Author(s):  
Suddala Chandramouli ◽  
Kesha Eswaraiah
Keyword(s):  
Process Parameters ◽  
Electric Discharge ◽  
Removal Rate ◽  
Machining Parameters ◽  
Tungsten Electrode ◽  
Electric Discharge Machining ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Edm Process

Electrical Discharge Machining is a thermo-electric process and one of the advanced methods of machining. Most publications on the EDM process are directed towards non-rotational tools, but rotation of the tool provides a good flushing in the machining zone. In this study, the optimal setting of the process parameters on Rotary Electric Discharge machining (REDM) was determined. The important process parameters that have been selected are peak current, pulse on time, pulse off time and rotational speed of tool with output response as Material Removal Rate (MRR).Taguchi experimental design (L27 orthogonal array) was used to formulate the experimental layout and experiments were conducted on Hardened stainless steel machined with copper tungsten electrode. ANOVA method was used with the help of MINITAB 17 software to analysis the influence of input process parameters on the MRR using Rotary Electric Discharge Machining. The input parameters were optimized in order to obtain maximum MRR, The results of the present work revealed that proper selection of input parameters will play a significant role on MRR.

Multi-objective optimization in wire electric discharge machining of Ti–6AL–4v using grey relational analysis for square and circular profiles

2021 ◽  
pp. 2250003
Author(s):  
P. Bharathi ◽  
G. Srinivasarao ◽  
P. Gopalakrishnaiah
Keyword(s):  
Process Parameters ◽  
Electric Discharge ◽  
Optimization Technique ◽  
Multi Objective Optimization ◽  
Electric Discharge Machining ◽  
Multi Objective ◽  
Relational Analysis ◽  
Wire Electric Discharge Machining ◽  
Pulse On Time ◽  
Pulse Off Time

In this work, an attempt has been made for optimization of process parameters in Wire Electric Discharge Machining (WEDM) of Ti–6Al–4V while producing square and circular profiles. The input parameters, namely pulse on time, pulse off time, peak current and servo voltage, were considered to study the responses cutting speed (CS) and surface roughness (SR). Each input parameter was set at three levels. Experiments were conducted as per central composite face (CCF) centered design. Based upon the experimental data, Gray relational analysis (GRA), a multi-objective optimization technique has been employed to find the best level of process parameters to optimize the machining profiles. Analysis of variance (ANOVA) has been conducted for investigating the effect of process parameters on overall machining performance. Finally, it was identified that the process parameters such as pulse on time, current and voltage have more impact on the square and circular profiles.

scholarly journals Multi-Objective Optimization of Wire Electro Discharge Machining (WEDM) Process Parameters Using Grey-Fuzzy Approach

2018 ◽  
Vol 63 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Partha Protim Das ◽  
Sunny Diyaley ◽  
Shankar Chakraborty ◽  
Ranjan Kumar Ghadai
Keyword(s):  
Process Parameters ◽  
Removal Rate ◽  
Machining Process ◽  
Wire Tension ◽  
Electro Discharge Machining ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process ◽  
Fuzzy Logic Technique ◽  
Off Time

Wire electro discharge machining (WEDM) is a versatile non-traditional machining process that is extensively in use to machine the components having intricate profiles and shapes. In WEDM, it is very important to select the optimal process parameters so as to enhance the machine performance. This paper emphasizes the selection of optimal parametric combination of WEDM process while machining on EN31 steel, using grey-fuzzy logic technique. Process parameters such as servo voltage, wire tension, pulse-on-time and pulse-off-time were considered while taking into account several multi-responses such as material removal rate (MRR) and surface roughness (SR). It was found that pulse-on-time of 115 µs, pulse-off-time of 35 µs, servo voltage of 40 V and wire tension of 5 kgf results in a larger value of grey fuzzy reasoning grade (GFRG) which tends to maximize MRR and improve SR. Finally, analysis of variance (ANOVA) is applied to check the influence of each process parameters in the estimation of GFRG.

Nano Graphite Powder Assisted Electric Discharge Machining Characteristics of ZM21 Magnesium Alloy

2015 ◽  
Vol 787 ◽  
pp. 406-410
Author(s):  
S. Santosh ◽  
S. Javed Syed Ibrahim ◽  
P. Saravanamuthukumar ◽  
K. Rajkumar ◽  
K.L. Hari Krishna
Keyword(s):  
Magnesium Alloy ◽  
Material Removal Rate ◽  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Zm21 Magnesium Alloy ◽  
Pulse On Time ◽  
Pulse Off Time

Magnesium alloys are used in many applications, particularly in orthopaedic implants are very difficult to machine by conventional processes because of their complex 3D structure and limited slip system at room temperature. Hence there is an inherent need for alternative processes for machining such intricate profiles. Electric Discharge Machining is growing rapidly in tool rooms, die shops and even in general shop floors of modern industries to facilitate complex machining for difficult-to-machine materials and provide better surface integrity. Therefore, the use of electric discharge machining on ZM21 magnesium alloy is attempted in this paper. Nanographite powder is added for machining zone to enhance the electrical conductivity of EDM oil by way it improves the machining performance. Machining parameters such as the current, pulse on time and pulse off time were process parameters to explore their effects on the material removal rate and tool wear rate. It is observed that, an increased material removal rate was due to the enhanced electrical and thermal conductivity of the EDM oil.

Effects of Process Parameters on Material Removal Rate and Surface Roughness in Wedm of H-13 Die Tool Steel

2018 ◽  
Vol 28 ◽  
pp. 55-66 ◽  
Author(s):  
Kuldeep Singh ◽  
Khushdeep Goyal ◽  
Deepak Kumar Goyal
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Tool Steel ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Pulse On Time ◽  
Pulse Off Time

In research work variation of cutting performance with pulse on time, pulse off time, wire type, and peak current were experimentally investigated in wire electric discharge machining (WEDM) process. Soft brass wire and zinc coated diffused wire with 0.25 mm diameter and Die tool steel H-13 with 155 mm× 70 mm×14 mm dimensions were used as tool and work materials in the experiments. Surface roughness and material removal rate (MRR) were considered as performance output in this study. Taguchi method was used for designing the experiments and optimal combination of WEDM parameters for proper machining of Die tool steel (H-13) to achieve better surface finish and material removal rate. In addition the most significant cutting parameter is determined by using analysis of variance (ANOVA). Keywords Machining, Process Parameters, Material removal rate, Surface roughness, Taguchi method

Multi-Response Optimization of Machining Process Parameters for Wire Electrical Discharge Machining of Lead-Induced Ti-6Al-4V Alloy Using AHP–TOPSIS Method

2019 ◽  
Vol 18 (02) ◽  
pp. 213-236 ◽  
Author(s):  
A. V. S. Ram Prasad ◽  
Koona Ramji ◽  
Murahari Kolli ◽  
G. Vamsi Krishna
Keyword(s):  
Process Parameters ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Performance Characteristics ◽  
Machining Process ◽  
Analytic Hierarchy ◽  
Response Characteristics ◽  
Multi Attribute Decision Making ◽  
Pulse On Time ◽  
Pulse Off Time

In this study, the effects of the process parameters on their performance characteristics of lead-induced Ti-6Al-4V alloy were investigated. Taguchi’s [Formula: see text] orthogonal array (OA) has been used to conduct the experiments. Four process parameters were considered each at three levels. Peak current, pulse-on-time, servo voltage and pulse-off-time were selected as process parameters on performance characteristics, namely, material removal rate (MRR), surface roughness (SR) and dimensional deviation (DD). A multi-attribute decision-making (MADM) technique, namely, analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS), has been used to investigate the multiple response characteristics. The weights for performance characteristics are determined by AHP. Finally, analysis of variance method has been employed effectively to bring out the influence of the process parameters associated with each performance characteristic, namely, maximization of MRR and minimization of SR and DD.

Optimization of Process Parameters in EDM Using Taguchi Method with Grey Relational Analysis and Topsis for Ceramic Composites

2016 ◽  
Vol 22 ◽  
pp. 83-93 ◽  
Author(s):  
M. Kalayarasan ◽  
M. Murali
Keyword(s):  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Ceramic Composites ◽  
Machining Process ◽  
Electric Discharge Machining ◽  
Relational Analysis ◽  
Grey Relational ◽  
Machining Parameter ◽  
Conventional Machining

Silicon Nitride-Titanium Nitride ceramic composites are newly advanced material having the properties of high hardness, strength, toughness and low density. These kinds of materials are challenging to machine by conventional machining process because it causes severe tool wear due to its properties. Since the materials can be machined by non-conventional machining process like laser cutting and water jet, but these processes are limited. Electric discharge machining shows higher capability for cutting complex shapes with high accuracy. The present work focuses to optimize the process parameter for maximum material removal rate and minimum electrode wear rate. The experimental studies were conducted under varying pulse on time, pulse off time, dielectric pressure and discharge current. Taguchi L9 orthogonal array was used to design the experiments. Grey relational analysis and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to optimize the process parameter and the results were validated by the confirmation tests. Thus the machining parameter for electric discharge machine was optimized to achieve higher material removal rate and lower rate on electrode. The result shows that the proposed technique is being effective to optimize the machining parameter for electric discharge machining process.

scholarly journals Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm

2018 ◽  
Vol 172 ◽  
pp. 04007 ◽  
Author(s):  
K. Umanath ◽  
D. Devika
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Titanium Alloy ◽  
Electric Discharge ◽  
Removal Rate ◽  
Machining Parameters ◽  
Process Variables ◽  
Electric Discharge Machining ◽  
Pulse On Time ◽  
Pulse Off Time

The aim of this research work is to analyze the significant of process variables and find the optimum process variables in electric discharge machining (EDM) of Titanium alloy (Ti-6Al-4V) .The variables considered are peak current, pulse-on-time and pulse-off-time where as the responses are Material Removal Rate(MRR) and Surface Roughness(SR). MITSUBISHI EA8 spark erosion machine is employed for this work and copper tungsten electrode of ∅14 mm is used in experimental trials. The experimental runs are done based on Taguchi L27 orthogonal array. The signal-to-noise ratio, the analysis of variance (ANOVA), regression analysis and Genetic algorithm are used to determine the optimal levels of machining parameters on Metal removal rate and Surface roughness. Confirmation tests also done with the optimal levels of machining variables. Comparison of Taguchi’s and Genetic algorithm were employed to analyze the effective optimum value.

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