Golshan, Abolfazl and Gohari, Soheil and Ayob, Amran (2012) Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm. International Journal of Mechatronics and Manufacturing Systems, 5 (5-6). pp. 385-398. ISSN 1753-1039
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Official URL: http://dx.doi.org/10.1504/IJMMS.2012.049972
Abstract
In this research, the influence of electrical discharge machining (EDM) on surface roughness and material removal rate (MRR) in metal matrix composite Al/SiC composite was investigated. With use of experimental result analysis and mathematical modelling, the correlation between four EDM conditions and process outputs were studied. Four investigated EDM conditions included pulse on-time, pulse peak current, average gap voltage and percent volume fraction of SiC. For finding optimal conditions, outputs extracted from non-dominated sorting genetic algorithm (NSGA-II) led in achieving appropriate models. The optimisation results showed suggested method has a high performance in problem solving.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | DOE method, EDM, electrical discharge machining, material removal rate, metal matrix composite Al/SiC, MRR, non-dominated sorting genetic algorithm, NSGA-II, Ra, surface roughness |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 24566 |
| Deposited By: | Fazli Masari |
| Deposited On: | 03 Dec 2013 08:23 |
| Last Modified: | 08 Feb 2017 04:52 |
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