Chip load-responsive optimization of micro-milling of engineering materials

被引：4
|
作者：
Pansare, V. B. [1 ]
Sharma, S. B. [2 ]
机构：
[1] Govt Engn Coll Aurangabad, Aurangabad, Maharashtra, India
[2] SGGSE & T, Aurangabad, Maharashtra, India
来源：
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING | 2016年 / 38卷 / 07期
关键词：
High-speed machining; Micro-milling; Chip load; ACO; Surface roughness; DESIGN OPTIMIZATION; CUTTING PARAMETERS; OPERATIONS; TOOL;
D O I：
10.1007/s40430-015-0399-0
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The miniaturization of machine component is perceived by many as requirement for the future technological development of a broad spectrum of products. Micro-component fabrication requires reliable and repeatable methods, with accurate analysis tools. Surface roughness is one of the most important parameter in machining process. This study presents the results of test done with high-speed face milling tool. Also this research discusses an experimental approach to the development of mathematical model for surface roughness prediction before milling process by using ant colony optimization algorithm. This mathematical model is validated by optimization of cutting parameters for minimum surface roughness.
引用
收藏
页码：2063 / 2068
页数：6
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