Paper Title:
Cutting Parameters Optimization by Using Particle Swarm Optimization (PSO)
  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.

  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, Y. X. Yao, D. Gao, C. Q. Liu, Z. J. Yuan, "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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