Multi-Objective Optimization of Wire EDM of AISI D3 Tool Steel Using Orthogonal Array with Principal Component Analysis. (2015)

• Record Type: Journal Article
• Authors: Sinha, Prashant; Kumar, Rajeev; Singh, G.K.; Thomas, Dain
• Is Part Of: Materials today. Volume 2:Number 4/5(2015)
• Page Start: 3778
• Page End: 3787
• Publication Date: 2015
• Subjects: Taguchi Method -- Principal component analysis -- Multi-objective optimization -- material removal rate MRR -- pulse on time Ton -- pulse off time Toff -- Peak Current IP -- Servo Voltage SV -- Surface roughness Ra. ;Length of Cut.; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2015.07.183
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Wire electric discharge machining, a non-traditional machining process comprising zinc coated wire electrode, has been developed for machining of electrically conductive difficult-to-machine very hard materials. Modernization of mechanical industry has lead to increase in demand for hard and tough materials and, having wide applications in aircraft and rocket industries, is important from the quality of cut point of view. Keeping this in view, a hybrid approach of Taguchi method (TM) and principal component analysis (PCA) has been applied for multi-objective optimization (MOO) WEDM of AISI D3 tool steel to achieve better cut qualities within existing resources. The three-quality characteristics MRR, Length of Cut, and Surface roughness have been considered for simultaneous optimization. The input parameters considered are pulse on time .pulse off time, peak current and servo voltage. Initially, single-objective optimization has been performed using TM and then the signal-to-noise (S/N) ratios obtained from TM have been further used in PCA for multi-objective optimization. The results of MOO include the prediction of optimum input parameter level and their relative significance on multiple quality characteristics (MQC).