Cutting Parameters Optimization by Using Particle Swarm Optimization (PSO)

Abstract:

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Cutting parameters play an essential role in the economics of machining. In this paper, particle swarm optimization (PSO), a novel optimization algorithm for cutting parameters optimization (CPO), was discussed comprehensively. First, the fundamental principle of PSO was introduced; then, the algorithm for PSO application in cutting parameters optimization was developed; thirdly, cutting experiments without and with optimized cutting parameters were conducted to demonstrate the effectiveness of optimization, respectively. The results show that the machining process was improved obviously.

Info:

Periodical:

Edited by:

Kai Cheng, Yingxue Yao and Liang Zhou

Pages:

879-883

DOI:

10.4028/www.scientific.net/AMM.10-12.879

Citation:

J. G. Li et al., "Cutting Parameters Optimization by Using Particle Swarm Optimization (PSO)", Applied Mechanics and Materials, Vols. 10-12, pp. 879-883, 2008

Online since:

December 2007

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Price:

$35.00

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