Multi Response Optimization of the Hole Punching Process Parameters in the Leaf Spring Assembly Using the Grey Taguchi Method and Simulated Annealing Algorithm

Abstract:

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This paper presents an attempt to develop an approach to predict the optimal process parameters for the Hole punching process on sheet metal. The Taguchi method is used to define the experimental procedure by its orthogonal array. The multiple responses of the Hole punching process, hole diameter and hole offset are optimised by the Grey Relational Analysis procedure. The statistical analysis of variance reveals the significant parameters which affect the process by analyzing the input parameters with the grey relational grade. The Non linear model obtained by this analysis is further processed by a Meta heuristic algorithm to obtain the optimality.

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Periodical:

Edited by:

Wu Fan

Pages:

1691-1695

DOI:

10.4028/www.scientific.net/AMM.110-116.1691

Citation:

G. Gopalaramasubramaniyan and K. Zhu, "Multi Response Optimization of the Hole Punching Process Parameters in the Leaf Spring Assembly Using the Grey Taguchi Method and Simulated Annealing Algorithm", Applied Mechanics and Materials, Vols. 110-116, pp. 1691-1695, 2012

Online since:

October 2011

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$35.00

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