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

Abstract:

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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.

Info:

Periodical:

Solid State Phenomena (Volume 266)

Edited by:

Ghenadii Korotcenkov and Syed H. Masood

Pages:

43-50

DOI:

10.4028/www.scientific.net/SSP.266.43

Citation:

R. Joshi et al., "Multi-Response Optimization of EDM for Ti-6Al-4V Using Taguchi - Grey Relational Analysis", Solid State Phenomena, Vol. 266, pp. 43-50, 2017

Online since:

October 2017

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Price:

$35.00

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