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Cutting Parameters Optimization by Using Particle Swarm Optimization (PSO)

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Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 10-12)

Pages:

879-883

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.10-12.879

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Online since:

December 2007

Authors:

Jian Guang Li, Ying Xue Yao, Dong Gao, Chang Qing Liu, Zhe Jun Yuan

Keywords:

Cutting Force, Cutting Parameter, Optimization, Particle Swarm Optimization Algorithm (PSO)

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© 2008 Trans Tech Publications Ltd. All Rights Reserved

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