Title: Optimisation of WEDM process parameters during machining of HCHCr steel using TOPSIS method

Authors: Sarat Kumar Sahoo; Sunita Singh Naik; Jaydev Rana

Addresses: Department of Mechanical Engineering, CVR College of Engineering, Vastunagar, Hyderabad, Telangana 501510, India ' Department of Mechanical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Sambalpur, Odisha 768018, India ' Department of Mechanical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Sambalpur, Odisha 768018, India

Abstract: Wire electrical discharge machining (WEDM) is an advanced non-conventional machining process specifically used for obtaining complex 3D shape objects in hard materials with high accuracy. The present study investigates the effect of various process parameters viz. pulse on time, pulse off time, wire feed and servo voltage on response variables such as cutting speed, material removal rate, kerf width and surface roughness on machining of high carbon high chromium steel. Taguchi's L9 orthogonal array for four factors and three levels has been used for designing the experiment. A novel technique for order preference by similarity to ideal solution (TOPSIS) approach has been applied to select the optimal level of machining parameters. Analysis of variance (ANOVA) has been conducted for investigating the effect of process parameters on overall machining performance. The effectiveness of proposed optimal condition is validated through the confirmatory test. The result of this study highlights that the parameters like pulse on time and servo voltage are significantly influencing to the machining performance.

Keywords: wire EDM; electrical discharge machining; high carbon high chromium steel; material removal rate; metal cutting; microscopic view; productivity; Taguchi; TOPSIS; ANOVA; multi-response optimisation.

DOI: 10.1504/IJPMB.2019.099332

International Journal of Process Management and Benchmarking, 2019 Vol.9 No.2, pp.216 - 231

Received: 12 Jul 2016
Accepted: 13 Jan 2017
Published online: 29 Apr 2019 *

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