Indexed In Scopus
  Scopus ID: 21100926589

Multi-response Optimization of Wire Electrical Discharge Machining Process Parameters for Al7075/Al2O3/SiC Hybrid Composite Using Taguchi-based Grey Relational Analysis

Seshappa Angadi and Anjaneya Prasad Bannoth

Abstract

To understand how various process parameters in wire electrical discharge machining (WEDM) affect surface quality metrics such as surface roughness and kerf width, Using an L27 orthogonal array, researchers looked at a hybrid metal matrix composite made of Al7075 alloy, 7.5% aluminum oxide (Al2O3), and 7.5% silicon carbide (SiC) nanoparticles and a technique that used inert gas assistance during the electromagnetic stir casting procedure. Process parameter values that provide the optimum machined qualities were determined using Taguchi-based Grey relational analysis (GRA), a multi-response optimization approach. Pulse on time, pulse current, pulse off time, and wire drum speed all had a role in the machining of the hybrid composite, but the analysis of variance showed that they were significantly important in the following order: 50.02%, 39.50%, 4.58%, and 2.75%. An improved Grey relational grade was found in a confirmation test performed at the ideal parameter setting, proving the validity of GRA.

Published on: November 29, 2023
doi: 10.17756/nwj.2023-s4-049
Citation: Angadi S, Bannoth AP. 2023. Multi-response Optimization of Wire Electrical Discharge Machining Process Parameters for Al7075/Al2O3/SiC Hybrid Composite Using Taguchi-based Grey Relational Analysis. NanoWorld J 9(S4): S286-S292.

Download Citation (XML)

37 Downloads
Bitnami