中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis

文献类型:期刊论文

作者Fu T(付涛); Zhao JB(赵吉宾); Liu WJ(刘伟军)
刊名Frontiers of Mechanical Engineering
出版日期2012
卷号7期号:4页码:445-452
关键词high-speed milling grey relational analysis principal component analysis parameters optimization
ISSN号2095-0233
产权排序1
中文摘要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.
收录类别CSCD
语种英语
公开日期2012-12-28
源URL[http://ir.sia.cn/handle/173321/10282]  
专题沈阳自动化研究所_装备制造技术研究室
推荐引用方式
GB/T 7714
Fu T,Zhao JB,Liu WJ. Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis[J]. Frontiers of Mechanical Engineering,2012,7(4):445-452.
APA Fu T,Zhao JB,&Liu WJ.(2012).Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis.Frontiers of Mechanical Engineering,7(4),445-452.
MLA Fu T,et al."Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis".Frontiers of Mechanical Engineering 7.4(2012):445-452.

入库方式: OAI收割

来源:沈阳自动化研究所

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