Affordable Access

Publisher Website

Multi-objective optimization in wire-electro-discharge machining of TiC reinforced composite through Neuro-Genetic technique

Authors
Journal
Applied Soft Computing
1568-4946
Publisher
Elsevier
Volume
13
Issue
4
Identifiers
DOI: 10.1016/j.asoc.2012.11.008
Keywords
  • Wedm
  • Mmc
  • Tic
  • Rbfn
  • Nsga-Ii
Disciplines
  • Computer Science
  • Engineering
  • Mathematics

Abstract

Abstract This paper proposed a Neuro-Genetic technique to optimize the multi-response of wire electro-discharge machining (WEDM) process. The technique was developed through hybridization of a radial basis function network (RBFN) and non-dominated sorting genetic algorithm (NSGA-II). The machining was done on 5vol% titanium carbide (TiC) reinforced austenitic manganese steel metal matrix composite (MMC). The proposed Neuro-Genetic technique was found to be potential in finding several optimal input machining conditions which can satisfy wide requirements of a process engineer and help in efficient utilization of WEDM in industry.

There are no comments yet on this publication. Be the first to share your thoughts.