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

ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY

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Field Value
 
Title Determination of Multi-performance Characteristics in Electric Discharge Machining of DIN 1.2767 Steel Using Grey Relational Analysis
 
Creator Fatatit, Abubaker Y.
Kalyon, Ali
 
Subject Electrical discharge machining
Gray relation
Optimization
Taguchi
DIN 1.2767 Tool steel
 
Description  
 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.
 
Publisher Koya University
 
Date 2021-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed article
text
 
Format application/pdf
 
Identifier http://aro.koyauniversity.org/index.php/aro/article/view/718
10.14500/aro.10718
 
Source ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY; Vol. 9 No. 1 (2021): Issue Sixteen; 1-7
2307-549X
2410-9355
 
Language eng
 
Relation http://aro.koyauniversity.org/index.php/aro/article/view/718/196
 
Rights Copyright (c) 2021 Abubaker Y. Fatatit, Ali Kalyon
https://creativecommons.org/licenses/by-nc-sa/4.0
 

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