Paper Title:
Modeling and Optimization of Process Parameters in Micro Wire EDM by Genetic Algorithm
  Abstract

The present work is aimed at optimizing the parameters of micro Wire Electric Discharge Machining (µ-WEDM) process by considering the simultaneous effects of input parameters viz: gap voltage, capacitance and feed rate. Experiments were planned and conducted using DoE techniques. ANOVA was performed to find out the significance of each factor. Regression models were developed for the experimental results of surface roughness and overcut of the micro slots produced on aluminium. Then Genetic Algorithm (GA) was employed to determine the values of optimal process parameters for the desired output value of micro wire electric discharge machining characteristics.

  Info
Periodical
Advanced Materials Research (Volumes 76-78)
Edited by
Han Huang, Liangchi Zhang, Jun Wang, Zhengyi Jiang, Libo Zhou, Xipeng Xu and Tsunemoto Kuriyagawa
Pages
566-570
DOI
10.4028/www.scientific.net/AMR.76-78.566
Citation
K.P. Somashekhar, N. Ramachandran, J. Mathew, "Modeling and Optimization of Process Parameters in Micro Wire EDM by Genetic Algorithm", Advanced Materials Research, Vols. 76-78, pp. 566-570, 2009
Online since
June 2009
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Price
$32.00
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