• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2017, Vol. 53 ›› Issue (5): 60-68.doi: 10.3901/JME.2017.05.060

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Research on Selective Assembly Method Optimization for Construction
Machinery Remanufacturing Based on Ant Colony Algorithm

SU Biao, HUANG Xiangming, REN Yinghui, WANG Fulin, XIAO He, ZHENG Bo   

  1. College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082
  • Online:2017-03-05 Published:2017-03-05

Abstract:

In view of the problems of low assembly efficiency, poor assembly precision and many remaining unmatched parts in the construction machinery remanufacturing, an optimal selective assembly method for remanufacturing is put forward. By analyzing the uncertainty factors and the influence factors on the assembly quality in the construction machinery remanufacturing, a new model is built based on the multivariate quality loss function and the assembly deviation. Considering the characteristics that the remanufactured parts and reused parts should be utilized preferentially and the remaining unmatched parts should be reduced under the condition of satisfying the accuracy of assembly, an assembly success rate and a remanufacturing resource utilization rate are presented as the assembly quality evaluation indexes. Thus, a comprehensive selective assembly model for improving the remanufacturing assembly accuracy and the remanufacturing resource utilization can be formed. Based on the characteristics of remanufacturing selective assembly model, the pheromone update strategy is improved and the heuristic function of the ant colony algorithm is designed, which are helpful to gain optimal assembly combinations and reduce the influence of the uncertainty factors on the quality of the assembly. The crank and connecting rod mechanism assembly of a remanufactured engine verifies that the method is feasible and effective.

Key words: ant colony algorithm, assembly quality, selective assembly, remanufacturing