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题名: Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis
作者: Fu T(付涛) ; Zhao JB(赵吉宾) ; Liu WJ(刘伟军)
作者部门: 装备制造技术研究室
关键词: high-speed milling ; grey relational analysis ; principal component analysis ; parameters optimization
刊名: Frontiers of Mechanical Engineering
ISSN号: 2095-0233
出版日期: 2012
卷号: 7, 期号:4, 页码:445-452
收录类别: CSCD
产权排序: 1
摘要: This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80 mold steel. An experiment based on the technology of Taguchi is performed. The objective is to establish a correlation among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling process. In this study, the optimum cutting parameters are obtained by the grey relational analysis. Moreover, the principal component analysis is applied to evaluate the weights so that their relative significance can be described properly and objectively. The results of experiments show that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters and the proposed approach can be a useful tool to reduce the cutting force.
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/10282
Appears in Collections:装备制造技术研究室_期刊论文

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