Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm
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 a...
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2012
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my.utm.245662017-02-08T04:52:16Z http://eprints.utm.my/id/eprint/24566/ Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm Golshan, Abolfazl Gohari, Soheil Ayob, Amran TJ Mechanical engineering and machinery 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. Inderscience Enterprises Ltd. 2012-10 Article PeerReviewed 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 http://dx.doi.org/10.1504/IJMMS.2012.049972 DOI:10.1504/IJMMS.2012.049972 |
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TJ Mechanical engineering and machinery Golshan, Abolfazl Gohari, Soheil Ayob, Amran Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm |
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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. |
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Article |
author |
Golshan, Abolfazl Gohari, Soheil Ayob, Amran |
author_facet |
Golshan, Abolfazl Gohari, Soheil Ayob, Amran |
author_sort |
Golshan, Abolfazl |
title |
Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm |
title_short |
Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm |
title_full |
Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm |
title_fullStr |
Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm |
title_full_unstemmed |
Multi-objective optimisation of electrical discharge machining of metal matrix composite Al/SiC using non-dominated sorting genetic algorithm |
title_sort |
multi-objective optimisation of electrical discharge machining of metal matrix composite al/sic using non-dominated sorting genetic algorithm |
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Inderscience Enterprises Ltd. |
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2012 |
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http://eprints.utm.my/id/eprint/24566/ http://dx.doi.org/10.1504/IJMMS.2012.049972 |
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