Universiti Teknologi Malaysia Institutional Repository

Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation

Golshan, Abolfazl and Ghodsiyeh, Danial and Izman, Sudin (2015) Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation. Proceedings Of The Institution Of Mechanical Engineers Part B-Jourl Of Engineering Manufacture, 229 (1). pp. 75-85. ISSN 0954-2299

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1177/0954405414523593

Abstract

This article focuses on comparing the performance of brass wire and zinc-coated brass wire that are widely used as the wire electrode in wire electrical discharge machining. To this end, an evolutionary computation method is presented based on non-dominated sorting genetic algorithm in order to find an optimization of rough cutting of the Ti-6Al-4V titanium alloy with the aid of response surface methodology modeling. This research examines the effects of three process parameters, namely, pulse on-time, pulse off-time, and peak current on the process outputs, that is, material removal rate, sparking gap, and white layer thickness. The obtained results indicated that zinc-coated wire was more predictable and it showed more reliable response in the experimental and modeling results. Additionally, the optimization results for both wires demonstrated the high performance of non-dominated sorting genetic algorithm approach to obtain the Pareto optimal set of solutions.

Item Type:Article
Uncontrolled Keywords:brass wire, non-dominated sorting genetic algorithm, response surface methodology, wire electrical discharge machining, zinc-coated brass wire
Subjects:A General Works
ID Code:58609
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:30 Mar 2017 09:50

Repository Staff Only: item control page