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

页码：879 / +

页数：2

共 50 条

[31] Particle Swarm Optimization (PSO) for reflector antenna shaping
Gies, D
Rahmat-Samii, Y
[J]. IEEE ANTENNAS AND PROPAGATION SOCIETY SYMPOSIUM, VOLS 1-4 2004, DIGEST, 2004, : 2289 - 2292
[32] Gravity inversion of a fault by Particle swarm optimization (PSO)
Toushmalani, Reza
[J]. SPRINGERPLUS, 2013, 2 : 1 - 7
[33] A NEW KIND OF PSO: PREDATOR PARTICLE SWARM OPTIMIZATION
Neshat, Mehdi
Sargolzaei, Mehdi
Masoumi, Azra
Najaran, Adel
[J]. INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2012, 5 (02): : 521 - 539
[34] On the Stability and the Parameters of Particle Swarm Optimization
Yasuda, Keiichiro
Iwasaki, Nobuhiro
Ueno, Genki
[J]. ANT COLONY OPTIMIZATION AND SWARM INTELLIGENCE, PROCEEDINGS, 2008, 5217 : 407 - 408
[35] Particle swarm optimization with diverse parameters
Takei, Mari
Yasuda, Keiichiro
Ishigame, Atsushi
[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2008, 3 (04) : 449 - 451
[36] Particle swarm optimization with adaptive parameters
Yang, Dongyong
Chen, Jinyin
Matsumoto, Naofumi
[J]. SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 1, PROCEEDINGS, 2007, : 616 - +
[37] Grouping-Shuffling Particle Swarm Optimization: An Improved PSO for Continuous Optimization
Li, Yinghai
Dong, Xiaohua
Liu, Ji
[J]. ADVANCES IN SWARM INTELLIGENCE, PT 1, PROCEEDINGS, 2010, 6145 : 86 - 93
[38] Monitoring and Optimization of Speed Settings for Brushless Direct Current (BLDC) Using Particle Swarm Optimization (PSO)
Anshory, Izza
Robandi, Imam
Wirawan
[J]. 2016 IEEE REGION 10 SYMPOSIUM (TENSYMP), 2016, : 243 - 248
[39] PID Control of DC motor using Particle swarm Optimization (PSO) Algorithm
Moghaddas, Mahbubeh
Dastranj, Mohamadreza
Changizi, Nemat
Rouhani, Modjtaba
[J]. JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2010, 1 (04): : 386 - 391
[40] PSO-FastSLAM: An Improved FastSLAM Framework using Particle Swarm Optimization
Lee, Heon-Cheol
Park, Shin-Kyu
Choi, Jeong-Sik
Lee, Beom-Hee
[J]. 2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 2763 - 2768

← 1 2 3 4 5 →