Multiresponse Optimization of Electro-Discharge Diamond Face Grinding Process Using Robust Design of Experiments

Abstract

This article presents an investigation of the machining parameters design for electro-discharge diamond face grinding (EDDFG). The setup for EDDFG was developed, and experiments were conducted on tungsten carbide cobalt (WC-10wt%Co) composite workpiece. The input machining parameters used in the present study were wheel speed, current, pulse on time, and duty factor. The settings of machining parameters were determined by using Taguchi's robust design approach. The machining parameters were optimized with multiresponse characteristics of material removal rate (MRR), wheel wear rate (WWR), and average surface roughness (ASR). Multiresponse signal-to-noise (MSNR) ratio was applied to measure the performance characteristics deviating from the actual value. Analysis of variance (ANOVA) was employed to identify the level of importance of the machining parameters on the multiple performance characteristics considered. Finally, experimental confirmation was carried out to identify the effectiveness of this proposed method.

Keywords:

• Average surface roughness
• Electro-discharge diamond face grinding
• Material removal rate
• Quality loss
• Taguchi method
• Wheel wear rate

Notes

Mean of MSNR, .

^a Optimum level.

^a Pooled factors.

Improvement of MSNR = 9.2360 dB.