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: Journal of Engineering Manufacture, 229 (1). pp. 75-85. ISSN 0954-2299
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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: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 58609 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 04 Dec 2016 04:07 |
| Last Modified: | 05 Apr 2022 02:40 |
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