煤炭工程 ›› 2016, Vol. 48 ›› Issue (12): 131-134.doi: 10.11799/ce201612039

• 装备技术 • 上一篇    下一篇

基于遗传算法的采煤机截割部优化设计

王永刚   

  1. 青岛黄海学院
  • 收稿日期:2016-05-23 修回日期:2016-07-26 出版日期:2016-12-10 发布日期:2016-12-22
  • 通讯作者: 王永刚 E-mail:qingdaohhu@yeah.net

Optimization Design of Transmission in Shearer’s Ranging Arm Based on Genetic Algorithm

  • Received:2016-05-23 Revised:2016-07-26 Online:2016-12-10 Published:2016-12-22

摘要: 为提高采煤机的安全性、可靠性和工作效率,论文采用遗传算法,以MG500/1180-WD型电牵引采煤机为基础,对其截割部齿轮传动系统进行优化,以期降低传动部体积质量|同时通过空载振动试验,对比优化前后采煤机截割部空载振动情况,试验得出,优化后的采煤机截割部振动幅度小于优化前的截割部。在实际工业试验中,优化后的MG500-1180型采煤机工作性能良好,表明采用遗传优化方法进行现有采煤机改进性设计是可行的。

关键词: 采煤机截割部, 传动系统, 遗传算法, 空载振动试验

Abstract: The work efficiency and work safety of shearer have been focused for design researchers because of the bad and complicated geological conditions in coal mining working face. The design of transmission system are conducted based on the transmission characteristics analysis of MG500/1180-WD electric haulage shearer's ranging arm. The genetic algorithm is utilized to optimize the volume of the gears in transmission system. The volume of optimized gear reduces obviously and most of the gear volume reduces over 8%, which shows that the optimization effect is remarkable.The vibration characteristic curve and statistics of transmission system before and after optimization are obtained through the no-load vibration test, and it is concluded that the vibration amplitude of shear's ranging arm after optimization is less than that of before optimization, which verified the correctness of the genetic optimization results.

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