Multi-objective optimization of multi-pass face milling using particle swarm intelligence

In this paper, to facilitate manufacturing engineers have more control on the machining operations, the optimization issue of machining parameters is handled as a multi-objective optimization problem. The optimization strategy is to simultaneously minimize production time and cost and maximize profi...

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Veröffentlicht in:	International journal of advanced manufacturing technology Jg. 56; H. 5-8; S. 429 - 443
Hauptverfasser:	Yang, Wen-an, Guo, Yu, Liao, Wenhe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer-Verlag 01.09.2011 Springer Nature B.V
Schlagworte:	Algorithms CAE) and Design Computer-Aided Engineering (CAD Cutting force Cutting speed Engineering Face milling Feed rate Goal programming Industrial and Production Engineering Machine tools Mechanical Engineering Media Management Milling (machining) Multiple objective analysis Original Article Parameters Pareto optimization Pareto optimum Performance measurement Production planning Surface roughness Swarm intelligence Multi-object optimization Face milling Particle swarm optimization Machining parameters Multi-pass
ISSN:	0268-3768, 1433-3015
Online-Zugang:	Volltext
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