Modern Manufacturing Engineering ›› 2018, Vol. 453 ›› Issue (6): 127-131.doi: 10.16731/j.cnki.1671-3133.2018.06.023

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The application of bionic intelligent computing to coal gear parameter optimization

Chen Fang1, Han Binhui2, Wang Bin3   

  1. 1 School of Aviation Manufacturing Engineering,Xi’an Aeronautical Polytechnic Insititute,Xi’an 710089,China;
    2 School of Aviation Maintenance Engineering,Xi’an Aeronautical Polytechnic Insititute,Xi’an 710089,China;
    3 School of Coal Engineering,Shanxi Datong University,Datong 037003,Shanxi,China
  • Received:2017-02-16 Online:2018-06-18 Published:2018-07-20

Abstract: In order to improve the frequent replacement of the cutting reducer applied on the colliery,based on the demanded of the strength,transmission performance and geometry to set as the restrictions,the design variable such as gear module,teeth and tooth width were seletcted as the design variable,and the parameter such as the maximum degree of coincidence,the minimum slip ratio and volume were set as the objective function.the particle swarm optimization of bionic intelligent calculation was used to optimization the design parameters of gear.Based on the optimization of structural design reducer,the test of installed experiments to verify the optimization results,and it provides a reference to solve practical engineering problems.

Key words: cutting reducer, planetary gear, design optimization, multi-objective optimization

CLC Number: 

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