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基于遗传算法的二并联机床钻尖刃磨参数优化.

Authors :
邹平
吴昊
金明日
Source :
Journal of Northeastern University (Natural Science). Jan2016, Vol. 37 Issue 1, p133-137. 5p.
Publication Year :
2016

Abstract

In view of helical drill point grinding, the theoretical and experimental bases for grinding the required geometrical parameters of helical drill points are presented in this paper based on the optimization of biglide parallel machine grinding parameters. A method of grinding the involute helical surface based on the biglide parallel machine is introduced, and then the mathematical model is derived for the helical drill flank. Moreover, the relationship between the geometric parameters and grinding parameters is analyzed, and the optimal grinding parameters are acquired based on genetic algorithm. The results showed that the optimized grinding parameters improve the grinding precision with the experiment on the biglide parallel machine, and the biglide parallel machine can satisfy clients' demands of drill grinding. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10053026
Volume :
37
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Northeastern University (Natural Science)
Publication Type :
Academic Journal
Accession number :
113072398
Full Text :
https://doi.org/10.3969/j.issn.1005-3026.2016.01.028