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题名: Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II
作者: Qu S(曲胜); Zhao JB(赵吉宾); Wang TR(王天然)
作者部门: 装备制造技术研究室
通讯作者: 曲胜
关键词: Thin-walled plates ; Machining parameters ; Optimization ; NSGA-II
刊名: International Journal of Advanced Manufacturing Technology
ISSN号: 0268-3768
出版日期: 2016
页码: 1-11
收录类别: EI
产权排序: 1
项目资助者: National Basic Research Program of China (Grant No. 2011CB302400) and the National Natural Science Foundation of China (Grant No.51175495).
摘要: The selection of machining parameters in milling thin-walled plates affects deformation, quality, and productivity of the machined parts. This paper presents an optimization procedure to determine and validate the optimum machining parameters in milling thin-walled plates. The regression models for cutting force and surface roughness are developed as objective functions according to experimental results. Besides, the influences of machining parameters on cutting force and surface roughness are also investigated. The objectives under investigation in this study are cutting force, surface roughness, and material removal rate subjected to constraints conditions. As the effects of milling parameters on optimization objectives are conflicting in nature, the multi-objective optimization problem in thin-walled plates milling is proposed. A non-dominated sorting genetic algorithm (NSGA-II) is then adopted to solve this multi-objective optimization problem. The optimized combinations of machining parameters are achieved by the Pareto optimal solutions, and these solutions are verified by the chatter stability.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/18861
Appears in Collections:装备制造技术研究室_期刊论文

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Recommended Citation:
Qu S,Zhao JB,Wang TR. Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II[J]. International Journal of Advanced Manufacturing Technology,2016:1-11.
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文件名: Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II.pdf
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