Paper Title:
Modeling and Optimization of Wire Electrical Discharge Machining of Cold-Work Steal 2601
  Abstract

In this study, the appropriate input parameters for achieving minimum surface roughness and high material removal rate are selected for wire electrical discharge machining of cold-work steel 2601. Mathematical modeling acquired by experimental result analysis is used to find the relation between input parameters including electrical current, gap voltage, open-circuit voltage and pulse-off time and output parameters. Subsequently, with exploitation of variance analysis, importance and effective percentages of each parameter are studied. The combination of optimum machining parameters is acquired using the analysis of ratios of signal-to-noise. Finally, according to multiple-objective optimization, outputs acquired from Non-dominated Sorting Genetic Algorithm led in achieving appropriate models. The optimization results showed suggested method has a high performance in problem solving.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 26: Modeling, Analysis, and Simulation of Manufacturing Processes III
Edited by
Wu Fan
Pages
6695-6703
DOI
10.4028/www.scientific.net/AMR.383-390.6695
Citation
A. Golshan, S. Gohari, A. Amran, "Modeling and Optimization of Wire Electrical Discharge Machining of Cold-Work Steal 2601", Advanced Materials Research, Vols. 383-390, pp. 6695-6703, 2012
Online since
November 2011
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Price
$32.00
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