OPTIMIZATION OF EDM INJECTION FLUSHING TYPE CONTROL PARAMETERS USING GREY RELATIONAL ANALYSIS ON AISI 304 STAINLESS STEEL WORKPIECE

Document Type : Primary Research paper

Authors

Department of Mechanical Engineering, Nehru Institute of Technology, Kaliyapuram, Coimbatore 6411 05, Tamilnadu, India

Abstract

This paper deals with optimization of Electrical Discharge Machining (EDM) Injection
flushing type control parameters on multi-performance optimization characteristics
instead of single performance optimization using Grey Relational Analysis (GRA)
Method. The experimental control parameters were being optimized according to their
various machining characteristics namely material removal rate (MRR), electrode wear
ratio (EWR) and surface roughness (SR) using copper as the tool and AISI 304 stainless
steel as the workpiece. This parameters optimization was based on Taguchi’s orthogonal
array (OA) combined with GRA. A grey relational grade (GRG) calculated based on
GRA was used to optimize the EDM process with multiple performance characteristics
and Taguchi’s L18 OA was used to plan the experiments. The machining parameters
selected are polarity, pulse on duration, discharge current, discharge voltage, machining
depth, machining diameter and dielectric liquid pressure. Results shown that machining
performance was improved effectively using this approach. The predicted responses at
optimum parameter levels are in good agreement with the results of confirmation
experiments conducted for verification tests.

Keywords


Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 716-724