Grey relational analysis for impact factors of micro-milling surface roughness

被引:0
|
作者
Hao, Meng [1 ]
Xiang, Li [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing 100192, Peoples R China
关键词
Surface roughness; Micro-milling process; Cutting parameter; Grey Relational Analysis; NONSTATISTICAL UNCERTAINTY;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Surface roughness is the most important index to evaluate micro-milling process. Surface roughness of the machined parts in the micro-milling process is mainly influenced by four cutting parameters (namely extended length of the micro-milling cutter, spindle speed, feed per tooth and cutting depth in the axial direction). The influence degree of the four parameters on surface roughness is not the same. It is of utmost important to learn the relational degree between each cutting parameter and surface roughness for accurately controlling surface roughness of the machined parts and efficiently guiding the practical machining process of the parts. Grey relational analysis is used to obtain the relational degree between each cutting parameter and surface roughness of the micro-milling parts. Through sample analysis, the feed per tooth f(z) has the most influence on surface roughness of the machined micro-milling parts, the relational degree between the feed per tooth f(z) and surface roughness R-a is 0.7688, white the extended length of the micro-milling cutter L has the least influence on surface roughness of the machined micro-milling parts, the relational degree between the extended length of the micro-milling cutter L and surface roughness R-a is 0.6054. In the practical micro-milling process, the four main cutting parameters may be reasonably chosen to accurately control surface roughness of the machined parts depending on the results of grey relational analysis.
引用
收藏
页码:113 / 117
页数:5
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