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Wolf pack algorithm for optimisation of cutting parameters in WEDM using Taguchi method

Wolf pack algorithm for optimisation of cutting parameters in WEDM using Taguchi method The optimisation of cutting parameters for wire electrical discharge machining (WEDM) is one the most difficult combinatorial optimisation problems, due to their complicated, coupled and nonlinear nature of the input-output variables of them. An exact solution for a WEDM optimisation problem cannot be easily obtained within a reasonable amount of time. Therefore, a meta heuristic algorithm is required [e.g., genetic algorithm (GA), particle swarm optimisation (PSO), wolf pack algorithm (WPA), etc.)]. The objective of this paper is to develop a robust approach using WPA to obtain the optimised combination of cutting parameters for the process of WEDM. Hence, a Taguchi orthogonal array is proposed instead of a full factorial experimental design for determining the parameters of the WPA. The effects of the WPA parameters on optimising the cutting parameters are disclosed and an analysis of variance is performed to investigate significance factors on the results. By experiments of WEDM, an application was presented to illustrate the effectiveness of the proposed approach. Compared with the S/N ratio statistical method of reported previously, the performance of Ra and material removal rate (MRR) were improved by 12% and 3.99%, respectively. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Internet Manufacturing and Services Inderscience Publishers

Wolf pack algorithm for optimisation of cutting parameters in WEDM using Taguchi method

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1751-6048
eISSN
1751-6056
DOI
10.1504/IJIMS.2019.098226
Publisher site
See Article on Publisher Site

Abstract

The optimisation of cutting parameters for wire electrical discharge machining (WEDM) is one the most difficult combinatorial optimisation problems, due to their complicated, coupled and nonlinear nature of the input-output variables of them. An exact solution for a WEDM optimisation problem cannot be easily obtained within a reasonable amount of time. Therefore, a meta heuristic algorithm is required [e.g., genetic algorithm (GA), particle swarm optimisation (PSO), wolf pack algorithm (WPA), etc.)]. The objective of this paper is to develop a robust approach using WPA to obtain the optimised combination of cutting parameters for the process of WEDM. Hence, a Taguchi orthogonal array is proposed instead of a full factorial experimental design for determining the parameters of the WPA. The effects of the WPA parameters on optimising the cutting parameters are disclosed and an analysis of variance is performed to investigate significance factors on the results. By experiments of WEDM, an application was presented to illustrate the effectiveness of the proposed approach. Compared with the S/N ratio statistical method of reported previously, the performance of Ra and material removal rate (MRR) were improved by 12% and 3.99%, respectively.

Journal

International Journal of Internet Manufacturing and ServicesInderscience Publishers

Published: Jan 1, 2019

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