• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2017, Vol. 53 ›› Issue (5): 60-68.doi: 10.3901/JME.2017.05.060

• 绿色制造技术 • 上一篇    下一篇

基于蚁群算法的工程机械再制造优化选配方法研究*

宿彪, 黄向明, 任莹晖, 王伏林, 肖和, 郑波   

  1. 湖南大学机械与运载工程学院 长沙 410082
  • 出版日期:2017-03-05 发布日期:2017-03-05
  • 作者简介:

    宿彪,男,1989年出生。主要研究方向为质量控制、物流管理、先进制造。

    E-mail:subiao507@163.com

    黄向明(通信作者),男,1971年出生,博士,教授。主要研究方向为工业工程以及精密制造工程,发表论文30余篇。

    E-mail:h_xiangming@aliyun.com

  • 基金资助:
    * 国家高技术研究发展计划资助项目(863 计划,2013AA040206); 20160713收到初稿,20161018收到修改稿;

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

摘要:

针对工程机械再制造装配效率低、装配精度差以及不匹配零件较多等问题,提出一种面向再制造的优化选择装配方法。分析工程机械再制造不确定性因素和装配质量的影响因素,构建了基于多元质量损失函数和装配偏差度的数学模型;同时针对再制造装配在满足装配精度的条件下应减少不匹配零件的剩余和尽可能优先使用重用件、修复件的特点,提出装配成功率和再制造资源利用率两个新的选配质量评价指标,建立以装配精度和再制造资源利用率为目标的综合选配模型。根据再制造选配模型的特点,改进蚁群算法的信息素更新方式,设计启发信息函数,以便输出较优的装配组合方案,减少再制造过程中不确定性因素对装配质量的影响。通过某发动机曲柄连杆机构的装配实例验证了该方法的可行性和有效性。

关键词: 选择装配, 蚁群算法, 装配质量, 再制造

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