scholarly journals Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis

2016 ◽  
Vol 19 (1) ◽  
pp. 62-70 ◽  
Author(s):  
S. Tripathy ◽  
D.K. Tripathy
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Machining Process ◽  
Relational Analysis ◽  
Electro Discharge Machining ◽  
Grey Relational

scholarly journals Grey Relational Analysis of EDM of Ti6Al4V using TiC/Cu Composite Tool Electrode Made with Nano and Micron Sized Particles

2019 ◽  
Vol 9 (1) ◽  
pp. 6154-6162
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Optimum Combination ◽  
Ti6al4v Alloy ◽  
Machining Process ◽  
Dominant Factor ◽  
Tool Electrode ◽  
Peak Current ◽  
Relational Analysis ◽  
Grey Relational

This paper covers the use of Taguchi based grey relational analysis in EDM process. The analysis is used to determine an optimum combination of process parameters, which involves individual and simultaneous improvement of surface roughness (SR) and the micro hardness (MH) of Ti6Al4V alloy in electric discharge machining (EDM). The tool used in the machining process is TiC/Cu powder metallurgy (P/M) electrode. Taguchi’s L18 mixed orthogonal array is used to plan experimentations which includes the machine tool and electrode parameters as the study parameters. The analysis of variance (ANOVA) for grey relational grade showed that particle size EDM electrode was the most dominant factor (64.13%) followed by peak current (7.41%) in influencing surface quality of EDMed Ti6Al4V alloy. Whereas, peak current is the most influential parameter while evaluating the individual responses of SR and MH. Finally, the optimum combination of process parameters was validated by confirmation experiments that considerably improved the multiple quality characteristics simultaneously.

Optimization of EDM Parameters in Machining AISI D3 Tool Steel by Grey Relational Analysis

2013 ◽  
Vol 330 ◽  
pp. 747-753
Author(s):  
Othman Belgassim ◽  
Abdurahman Abu-Saada
Keyword(s):  
Taguchi Method ◽  
Tool Steel ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Pulse Current ◽  
Machining Process ◽  
Relational Analysis ◽  
Grey Relational ◽  
Pulse On Time ◽  
D3 Tool Steel

This study presents optimization of multiple performance characteristics [material removal rate (MRR), surface roughness (Ra), and overcut (OC)] of hardened AISI D3 tool steel in electrical discharge machining (EDM) using Taguchi method and Grey relational analysis. Machining process parameters selected were pulse current Ip, pulse-on time Ton, pulse-off time Toff and gap voltage Vg . Based on ANOVA, pulse current is found to be the most significant factor affecting EDM process. Optimized process parameters simultaneously leading to a higher MRR, lower Ra, and lower OC are then verified through a confirmation experiment. Validation experiment shows an improved MRR, Ra and OC when Taguchi method and grey relational analysis were used.

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