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Modeling and optimization of cylindrical wire electro discharge machining of AISI D3 tool steel using non-dominated sorting genetic algorithm
Author(s): Abolfazl Golshan; Soheil Gohari; Amran Ayob
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Paper Abstract

In this study the influence of Cylindrical Wire Electro Discharge Machining on surface roughness and material removal rate is conducted. From experimental DOE method and mathematical modeling, the importance and correlation between corresponding parameters and process output characterization are studied. The investigated input parameters include electrical current, pulse-off time, voltage, rotation speed and cone angle. The Non-dominated Sorting Genetic Algorithm is then applied on the outputs to generate appropriate optimized models. The optimization procedure shows that the suggested method results in a high performance problem solving.

Paper Details

Date Published: 1 October 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82853V (1 October 2011); doi: 10.1117/12.914614
Show Author Affiliations
Abolfazl Golshan, Isfahan Univ. of Technology (Iran, Islamic Republic of)
Soheil Gohari, Univ. Teknologi Malaysia (Malaysia)
Amran Ayob, Univ. Teknologi Malaysia (Malaysia)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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