Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (1): 133-137.DOI: 10.12068/j.issn.1005-3026.2016.01.028

• Mechanical Engineering • Previous Articles     Next Articles

Optimization of Grinding Parameters for Drill Points with a Biglide Parallel Machine Based on Genetic Algorithm

KIM Myong-il1,2, ZOU Ping1, WU Hao1   

  1. 1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China; 2. School of Mechanical Science & Technology, Kimchaek University of Technology, Pyongyang 999093, DPR of Korea.
  • Received:2014-11-04 Revised:2014-11-04 Online:2016-01-15 Published:2016-01-08
  • Contact: ZOU Ping
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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.

Key words: grinding method of involute helical surface, biglide parallel machine, twist drill, genetic algorithm, grinding of drill points

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