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)![]() ![]() |
刊名 | Frontiers of Mechanical Engineering
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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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