Journal of Northeastern University Natural Science ›› 2017, Vol. 38 ›› Issue (4): 531-535.DOI: 10.12068/j.issn.1005-3026.2017.04.016

• Mechanical Engineering • Previous Articles     Next Articles

Optimization Method of Cutting Process Parameters for Dicing Saw

SUN Hong-chun1, WANG Hong-bao2, XU Yong1, XIE Li-yang1   

  1. 1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China; 2. CNR Dalian Electric Traction R & D Center Co., Ltd., Dalian 116041, China.
  • Received:2015-11-16 Revised:2015-11-16 Online:2017-04-15 Published:2017-04-11
  • Contact: SUN Hong-chun
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Abstract: 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.

Key words: dicing saw, process parameters, regression orthogonal design, genetic algorithm, optimization

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