Milling optimization of GH4169 nickel–based superalloy under minimal quantity lubrication condition based on multi-objective particle swarm optimization algorithm

The surface quality of machining will greatly affect the service life of components. In this paper, to reduce the surface roughness and cutting force of nickel-based superalloy during machining, the milling parameters of GH4169 nickel-base superalloy under micro-lubrication conditions were optimized...

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Veröffentlicht in:	International journal of advanced manufacturing technology Jg. 123; H. 11-12; S. 3983 - 3994
Hauptverfasser:	Guo, Chenguang, Chen, Xiaodong, Li, Qiang, Ding, Guangshuo, Yue, Haitao, Zhang, Jianzhuo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.12.2022 Springer Nature B.V
Schlagworte:	CAE) and Design Computer-Aided Engineering (CAD Cutting force Cutting parameters Diameters Engineering Error analysis Industrial and Production Engineering Lubricating oils Mechanical Engineering Media Management Multiple objective analysis Nickel Nickel base alloys Optimization algorithms Optimization models Original Article Particle swarm optimization Process parameters Response surface methodology Service life Side milling Sorting algorithms Superalloys Surface properties Surface roughness Teeth Variance analysis Multi-objective particle swarm optimization Surface roughness Minimal quantity lubrication Optimization model Cutting force
ISSN:	0268-3768, 1433-3015
Online-Zugang:	Volltext
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