Optimization design of CNC machine tool spindle based on genetic algorithm

被引：0
|
作者：
Guo, Chen-Guang [1 ]
Wang, Peng-Jia [1 ]
Tian, Peng [1 ]
Liu, Yong-Xian [1 ]
机构：
[1] School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2011年 / 32卷 / 06期
关键词：
Computer control systems - Machine tools;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A mathematical model of CNC machine tool spindle optimization design is established by analyzing the spindle's structure and the deformation under load in the working situation. To solve the problems of the traditional optimization design, this article applies the genetic algorithm, which combines the real number coding rule and an improved genetic operator, to the optimization design of the spindle. In the platform of VC++, the CNC machine tool spindle is optimizingly designed based on the genetic algorithm. According to the example design and result analysis, the spindle structural parameters obtained by the optimization design are shown to be more reliable than that of the traditional ones. It suggests the benefits and potential applications of the use of genetic algorithm in the spindle optimization design.
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页码：850 / 853
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