• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (1): 180-188.doi: 10.3901/JME.2019.01.180

• 数字化设计与制造 • 上一篇    下一篇

考虑质量、成本与资源利用率的再制造机床优化选配方法

姜兴宇, 王蔚, 张皓垠, 张凯, 李丽   

  1. 沈阳工业大学机械工程学院 沈阳 110870
  • 收稿日期:2018-04-12 修回日期:2018-09-19 出版日期:2019-01-05 发布日期:2019-01-05
  • 通讯作者: 王蔚(通信作者),女,1984年出生,博士,讲师。主要研究方向为机床绿色再制造。E-mail:wangwei_neu@126.com
  • 作者简介:姜兴宇,男,1980年出生,博士,教授,博士研究生导师。主要研究方向为机床绿色再制造、现代质量工程。E-mail:xy_jiang9211@sut.edu.cn
  • 基金资助:
    国家自然科学基金(51305279)、2016绿色制造系统集成、辽宁省教育厅一般项目(LGD2016023)和辽宁省科技厅博士启动(20170520331)资助项目。

Optimal Selective Assembly Method for Remanufacturing Product Considering Quality, Cost and Resource Utilization

JIANG Xingyu, WANG Wei, ZHANG Haoyin, ZHANG Kai, LI Li   

  1. School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870
  • Received:2018-04-12 Revised:2018-09-19 Online:2019-01-05 Published:2019-01-05

摘要: 针对再制造机床装配过程中存在的装配精度低,再制造资源利用率低以及生产成本高等问题,提出一种新的再制造机床综合优化选配方法,综合考虑装配精度、再制造资源利用率与成本,采用田口质量损失函数与剩余件成本函数,以封闭环尺寸链为约束条件,在保证装配精度及最小成本的目标下,建立综合选配模型,并给出基于粒子群遗传算法的模型求解过程,求解出再制造装配过程的最优选配方案,减少了再制造装配过程中的不确定因素,降低因选配方案不合理而带来的资源浪费,保证了装配产品的质量。最后,以废旧CAK6150机床主轴箱为例,对其主轴装配过程进行优化选配,最终验证了该方法不仅解决了再制造零件选配过程中精度低的问题,而且大大提高了选配过程的再制造资源利用率,降低企业成本。

关键词: 粒子群遗传算法, 选配方法, 再制造, 装配质量

Abstract: Aiming to poor assembly accuracy, low utilization of remanufacturing resource and low assembly efficiency in the process of remanufacturing assembly, a new selective assembly method optimization for remanufactured machinery is proposed. Considering assembly accuracy, utilization of remanufactured parts and assembly efficiency, Taguchi quality loss function(QLF) and cost function of remaining parts are both employed. Ensuring assembly accuracy and minimum cost, a comprehensive matching model is established with closed loop dimension chain as the constraint condition, and the solution procedure of PSO-GA model is given to obtain the optimal matching scheme. Uncertainties and resource wastes causing by unreasonable matching schemes are both reduced to ensure the quality of remanufactured machine. Finally, the spindle box of a wasted CAK6163 is selected to implement optimization and matching to the reassembly procedure, and the results show the proposed method can not only eliminate the problem of low success rate in remanufactured parts matching process, but also greatly improve the utilization of remanufacturing resource and reduce the cost.

Key words: assembly quality, PSO-GA model, remanufacturing, selective assembly method

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