Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation. (January 2015)

• Record Type: Journal Article
• Authors: Golshan, Abolfazl; Ghodsiyeh, Danial; Izman, Sudin
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 229:Number 1(2015:Jan.)
• Page Start: 75
• Page End: 85
• Publication Date: 2015-01
• Subjects: Wire electrical discharge machining -- brass wire -- zinc-coated brass wire -- response surface methodology -- non-dominated sorting genetic algorithm; Mechanical engineering -- Periodicals; Engineering -- Management -- Periodicals; Manufacturing processes -- Periodicals; 629.8
• DOI: 10.1177/0954405414523593
• Languages: English
• ISSNs: 0954-4054

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.