Cutting parameters optimization by using particle swarm optimization (PSO)

被引：16
|
作者：
Li, J. G. [1 ]
Yao, Y. X. [1 ]
Gao, D. [1 ]
Liu, C. Q. [1 ]
Yuan, Z. J.
机构：
[1] Harbin Inst Technol, Sch Mechatron Engn, Harbin 150001, Peoples R China
来源：
E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY | 2008年 / 10-12卷
关键词：
optimization; cutting parameters; particle swarm optimization; cutting force;
D O I：
10.4028/www.scientific.net/AMM.10-12.879
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：879 / +
页数：2
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