Multi-Objective Optimization on Electric Discharge Machining Using by Grey Relational Analysis

2014 ◽  
Vol 592-594 ◽  
pp. 550-554
Author(s):  
L. Selvarajan ◽  
C. Sathiya Narayanan ◽  
R. Jeyapaul
Keyword(s):  
Ceramic Composite ◽  
Removal Rate ◽  
Electrode Wear ◽  
Electric Discharge Machining ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Dielectric Flushing ◽  
Off Time

The present study ,Sparking parameters namely current (I), pulse on time (ton), pulse off time (toff), spark gap and dielectric flushing pressure (P) are optimized with the considerations of multi responses such as Material Removal Rate (MRR), Electrode wear Rate (EWR), of the MoSi2-SiC intermetallic/ceramic composite are investigated by use of the Taguchi L18 orthogonal array (OA) with grey relational grade analysis was reported.

Multi-Objective Optimization of EDM Parameters Using Grey Relational Analysis for Titanium Alloy (Ti–6Al–4V)

2014 ◽  
Vol 592-594 ◽  
pp. 540-544 ◽  
Author(s):  
A. Palanisamy ◽  
R. Rekha ◽  
S. Sivasankaran ◽  
C. Sathiya Narayanan
Keyword(s):  
Grey Relational Analysis ◽  
Removal Rate ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Relational Analysis ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Edm Process

In this paper optimization of the electrical discharge machining (EDM) process with multiple performance characteristics based on the orthogonal array with the grey relational analysis was studied and investigated. A grey relational grade obtained from the grey relational analysis is used to solve the EDM process. Optimal machining parameters are determined by considering the grey relational grade as the performance index. The input independent parameters of peak current, pulse on time and pulse off time were examined and optimized on multiple response characters (material removal rate, electrode wear ratio and surface roughness). Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach.

Optimization of Machining Characteristics in EDM of Si3N4-TiN Composites by Taguchi Grey Relational Analysis

2014 ◽  
Vol 592-594 ◽  
pp. 600-604 ◽  
Author(s):  
L. Selvarajan ◽  
C. Sathiya Narayanan ◽  
R. Jeyapaul
Keyword(s):  
Removal Rate ◽  
Experimental Studies ◽  
Electrode Wear ◽  
Characteristic Features ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Dielectric Flushing ◽  
Machining Parameter ◽  
Grey Relation

In this study, Sparking parameters specifically Current (I), pulse on time (ton), pulse off time (toff), spark gap and dielectric flushing pressure (P) are optimized with the consideration of multi responses such as Material Removal Rate (MRR) and Electrode wear Rate (EWR). The characteristic features of the Spark EDM process are explored through Taguchi L18 orthogonal array design of experimental studies with various process parametric combinations. To optimize the above machining parameter, grey relation techniques are used. Based on the grey relation grade, optimum levels of parameters have been identified and major contribution of parameters is determined by ANOVA. Verification test is conducted to validate the test result.

The Effect of EDM Die-Sinking Parameters on Machining Characteristics in Aluminum Alloy Machining

2015 ◽  
Vol 761 ◽  
pp. 303-307 ◽  
Author(s):  
Laily Suraya ◽  
M.A. Ali ◽  
N.I.S. Hussein ◽  
Mohd Razali Muhamad ◽  
Manshoor Bukhari ◽  
...  
Keyword(s):  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Design Matrix ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Electrode Tool ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Machining Characteristics

The effect of machining parameters on machining characteristics for aluminium alloy LM6 (Al-Sil2) in Electrical Discharge Machining (EDM) die-sinking is studied. The objective of this project is to determine the relationship between the machining parameters including pulse-on time, pulse-off time, peak current and voltage with the machining characterictics such as Material Removal Rate (MRR), Electrode Wear Rate (EWR) and Surface Roughness (Ra). Copper materials having diameter 15mm was chosen as the electrode tool. Design of experimenent using Taguchi technique was employed to design experimental matrix that was used to optimize the MRR, EWR and Ra. The analysis was done by using the Minitab software version 16. It is found that current and pulse off time significantly affect MRR, EWR and Ra while pulse on time and voltage are less significant in their effect on machining responses. Results show that using Taguchi as a design matrix, the best setting of optimum value for machining parameters to find the required machining responses can be obtained.

Performance Evaluation of Electrical Discharge Machining Die Sinking on Stainless Steel 316L Using Copper Impregnated Graphite

2014 ◽  
Vol 660 ◽  
pp. 48-54 ◽  
Author(s):  
Wahaizad Safiei ◽  
Safian Sharif ◽  
Ahmad Fairuz Mansor ◽  
Mohd Halimudin Mohd Isa
Keyword(s):  
Stainless Steel ◽  
Removal Rate ◽  
Dimensional Accuracy ◽  
Time Range ◽  
Electrode Wear ◽  
Stainless Steel 316L ◽  
Peak Current ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

This study presents the results of experimental studies carried out to conduct a comprehensive investigation on the influence of Electrical Discharge Machining (EDM) input parameters on characteristics of EDM process. The machining parameters include peak current, servo voltage, pulse ON time and pulse OFF time. The study was conducted using 2 levels of Full Factorial Method in Design of Experiments. The design expert software employed to perform all the data analysis for Full Factorial and Central Composite Design (CCD) experiments. This study evaluates the machining performance of the Stainless Steel 316L using Sodick EDM linear motor series AM3L which employed Copper impregnated graphite diameter 7.0 mm as the tool electrode. The response variables are material removal rate (MRR), electrode wear rate (EWR), surface roughness (SR) and dimensional accuracy. The result shows that the peak current was the most significant factors to all variable responses. The servo voltage does not have significant effects to the machining responses in RSM. Higher current produced higher MRR, EWR, SR and Dimensional Accuracy. Maximum MRR was obtained at peak current range from 27amp to 38amp, pulse on time range from 120μs to 145μs and 60μs of pulse off time. Maximum EWR was obtained at peak current range from 27amp to 37amp, pulse on time range from 140μs to 160μs and 60μs of pulse off time. High probably, the minimum EWR only can be obtained if peak current parameter sets greater than 45amp. Lower dimensional accuracy and SR obtain at 5amp of pulse on time. Higher pulse off time produced lower MRR and EWR.Keywords: EDM Die sinking, Stainless Steel 316L, Copper Impregnated Graphite Electrode, Response Surface Methodology, Surface Roughness, Material Removal Rate, Electrode Wear Rate, Dimensional Accuracy

The Effect of EDM Die-Sinking Parameters on Material Characteristic for Aluminum Composite

2014 ◽  
Vol 699 ◽  
pp. 26-31 ◽  
Author(s):  
Mohd Amran Ali ◽  
Laily Suraya ◽  
Nor Atiqah Jaffar Sidek ◽  
Nur Izan Syahriah Hussein ◽  
Mohd Razali Muhamad ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Aluminum Composite ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

The machining ability of Electrical Discharge Machining (EDM) die-sinking on material characteristics of LM6 (Al-Sil2) is studied. This is due to the machining process on sharp edge, pocket, deep slot and micro hole cannot be performed by milling and turning machine. The objective of this paper is to determine the relationship between the machining parameters such as pulse on time, pulse off time, peak current and voltage on material removal rate (MRR) that are electrode wear rate (EWR) and surface roughness (Ra). Graphite tool of diameter 15mm was chosen as an electrode. Taguchi method is used as analysis technique to develop experimental matrix that is used to optimize the MRR, EWR and Ra. The analysis was done by using the Minitab software version 16. It is found that the current and pulse off time are significantly effected the MRR, EWR and Ra while pulse on time and voltage are less significant factors that affected the responses. From the Taguchi method, the best setting of optimum value was obtained. Thus, it shows that Taguchi method is the best quality tools that can be applied for production.

Multi-Response Optimization of EDM for Ti-6Al-4V Using Taguchi - Grey Relational Analysis

2017 ◽  
Vol 266 ◽  
pp. 43-50 ◽  
Author(s):  
Ritesh Joshi ◽  
Gopal Zinzala ◽  
Nishit Nirmal ◽  
Kishan Fuse
Keyword(s):  
Grey Relational Analysis ◽  
Removal Rate ◽  
Optimization Technique ◽  
High Strength ◽  
Operating Conditions ◽  
Electrode Wear ◽  
Relational Analysis ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time

Ti-6Al-4V is a titanium alloy having high strength, low weight and corrosion resistant which is a required characteristic for a material to be used in aerospace industry. Titanium, being a hard alloy is difficult to the machine via conventional methods so it is a call to use non-conventional processes. In present work, the effects on Ti-6Al-4V by drilling a hole of Ø 6 mm using copper (99%) electrode in electric discharge machining (EDM) process is analyzed. Experiments were performed under different operating conditions of peak current, pulse-on time and pulse-off time. Multi-objective optimization technique Grey relational analysis is used for process optimization of material removal rate (MRR) and electrode wear rate (EWR). Experiments are designed using an L9 orthogonal array. ANOVA is used for finding most contributing parameter followed by confirmation tests for validating the results.

The Performance of Brass Electrode on Material Removal for Aluminium Composite in EDM Die-Sinking

2014 ◽  
Vol 660 ◽  
pp. 43-47
Author(s):  
Amran Ali Mohd ◽  
Suraya Laily ◽  
Aisyah Fatin ◽  
Nur Izan Syahriah Hussein ◽  
Mohd Razali Muhamad ◽  
...  
Keyword(s):  
Aluminium Alloys ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Time Pulse

This paper investigates the performance of brass electrode on the removal of aluminium alloys LM6 (Al-Sil2) in an electrical discharge machining (EDM) die-sinking. The machining parameters such as pulse-on time, pulse-off time and peak current were selected to find the responses on the material characteristics such as material removal rate (MRR), electrode wear rate (EWR) and surface roughness (Ra). Brass with diameter of 10mm was chosen as an electrode. Orthogonal array of Taguchi method was used to develop experimental matrix and to optimize the MRR, EWR and Ra. It is found that the current is the most significantly affected the MRR, EWR and Ra while pulse on time, pulse off time and voltage are less significant factor that affected the responses. Percentage optimum value of MRR increases to 3.99%, however EWR and Ra reduce to 3.10% and 2.48% respectively. Thus, it shows that brass having capability to cut aluminium alloys LM6.

scholarly journals Effects of Side Flushing and Multi-Aperture Inner Flushing on Characteristics of Electrical Discharge Machining Macro Deep Holes

Metals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 148
Author(s):  
Suppawat Chuvaree ◽  
Kannachai Kanlayasiri
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Machining Performance ◽  
Electrode Rotation ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

This research investigates the effect of machining parameters on material removal rate, electrode wear ratio, and gap clearance of macro deep holes with a depth-to-diameter ratio over four. The experiments were carried out using electrical discharge machining with side flushing and multi-aperture flushing to improve the machining performance and surface integrity. The machining parameters were pulse on-time, pulse off-time, current, and electrode rotation. Response surface methodology and the desirability function were used to optimize the electrical discharge machining parameters. The results showed that pulse on-time, current, and electrode rotation were positively correlated with the material removal rate. The electrode wear ratio was inversely correlated with pulse on-time and electrode rotation but positively correlated with current. Gap clearance was positively correlated with pulse on-time but inversely correlated with pulse off-time, current, and electrode rotation. The optimal machining condition of electrical discharge machining with side flushing was 100 µs pulse on-time, 20 µs pulse off-time, 15 A current, and 70 rpm electrode rotation; and that of electrical discharge machining with multi-aperture flushing was 130 µs, 2 µs, 15 A, and 70 rpm. The novelty of this research lies in the use of multi-aperture flushing to improve the machining performance, enable a more uniform GC profile, and minimize the incidence of recast layer.

Parametric optimization in die-sinking EDM of Nimonic 90 alloy using Taguchi-based GRA approach

2020 ◽  
Vol 18 (1) ◽  
pp. 146-156
Author(s):  
Sahil Sharma ◽  
Umesh Kumar Vates ◽  
Amit Bansal
Keyword(s):  
Electric Discharge ◽  
Optimization Technique ◽  
Electrode Wear ◽  
Content Type ◽  
Response Characteristics ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
The Impact ◽  
Off Time

Purpose In the current exploration, the machining of a Nimonic 90 superalloy material was carried out in a die-sinking electric discharge machine. Experimentation was performed to investigate the impact of three input machining factors – current (I), pulse on time (Ton) and pulse off time (Toff) – on various response characteristics such as material removal rate (MRR), surface roughness (Ra) and electrode wear rate (EWR). Design/methodology/approach A Taguchi L9 design and ANOVA were used to assess machine response characteristics. The study also involved a grey relational analysis (GRA) multi-objective technique of optimization. Findings For single-objective performance, the most appropriate machining factors for achieving the best performance were attained as: MRR (I = 20 A, Ton = 200 µs and Toff = 45 µs), Ra (I = 14 A, Ton = 100 µs and Toff = 25 µs) and EWR (I = 17 A, Ton = 150 µs and Toff = 45 µs). The proposed grey relational approach provided the optimal settings (i.e. 14 A I, 100 µs Ton and 25 µs Toff) for the variables used to calculate the predicted and experimental results. Also, a confirmation test indicated that the final experimental grey relational grade value was enhanced when the experimentation was performed at optimal setting. Originality/value To the best of the authors’ knowledge, the present work is the first to examine the proposed machining variables (i.e. current, pulse on time and pulse off time) in relation to the optimization technique of GRA for a Nimonic 90 alloy using a die-sinking electric discharge machining method.

Investigation the Electrode Wear Rate and Metal Removal Rate in EDM Process using Taguchi and ANOVA Method

2020 ◽  
Vol 38 (10A) ◽  
pp. 1504-1510
Author(s):  
Safaa K. Ghazi
Keyword(s):  
Wear Rate ◽  
Metal Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Electrode Wear ◽  
Metal Removal Rate ◽  
Electrode Wear Rate ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

The experimental work of this paper leads to electrical discharge machining (EDM). A system for machining in this process has been developed. Many parameters are studied such as current, pulse on-time, pulse off time of the machine. The main aim of this work is to calculate the metal removal rate (MRR) and electrode wear rate (EWR) using copper, electrodes when machining tool steel H13 specimens of a thickness (4mm). Different current rates are used ranging from (30, 42, and 54) Amp, pulse on-time ranging from (75, 100, and 125) and pulse off time ranging from (25, 50, and 75)   found that high current gives large electrode wear and metal removal rate and. The experiment design was by Taguchi Method. From an analysis of variance (ANOVA) the more active influence of input factors on the outputs is currently for metal removal rate (MRR) (58%) and electrode wear rate (EWR) (57).

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