Optimization Method of Cutting Process Parameters for Dicing Saw

被引：0
|
作者：
Sun H.-C. [1 ]
Wang H.-B. [2 ]
Xu Y. [1 ]
Xie L.-Y. [1 ]
机构：
[1] School of Mechanical Engineering & Automation, Northeastern University, Shenyang
[2] CNR Dalian Electric Traction R & D Center Co., Ltd., Dalian
来源：
Sun, Hong-Chun (hchsun@mail.neu.edu.cn) | 1600年 / Northeast University卷 / 38期
关键词：
Dicing saw; Genetic algorithm; Optimization; Process parameters; Regression orthogonal design;
D O I：
10.3969/j.issn.1005-3026.2017.04.016
中图分类号：
学科分类号：
摘要：
The cutting process parameters of dicing saw are difficult to get in actual production, an optimization method was thus proposed to establish the best cutting parameters based on genetic algorithm of Matlab. The scope of the cutting process parameters was selected by avoiding the natural frequency of every order, and the root mean square of the axis vibration was used as the evaluation index. The regression equation was established between parameters of vibration and cutting processes by regression orthogonal design. The best cutting parameters according to the minimum vibration were obtained by using the Matlab genetic algorithm to make iterative optimization for the regression equation. The optimization result was verified by experiments. © 2017, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：531 / 535
页数：4
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