中国机械工程 ›› 2015, Vol. 26 ›› Issue (1): 55-62.

• 可持续制造 • 上一篇    下一篇

面向再制造复杂机械产品装配过程的质量控制点公差带在线优化方法

刘明周;邢玲玲;刘从虎;张淼   

  1. 合肥工业大学,合肥,230009
  • 出版日期:2015-01-10 发布日期:2015-01-15
  • 基金资助:
    国家重点基础研究发展计划(973计划)资助项目(2011CB013406)

Online Tolerance Optimization for Remanufactured Complex Mechanical Product Assembly Processes

Liu Mingzhou;Xing Lingling;Liu Conghu;Zhang Miao   

  1. Hefei University of Technology,Hefei,230009
  • Online:2015-01-10 Published:2015-01-15
  • Supported by:
    The National Basic Research Program (973 Program) (No. 2011CB013406)

摘要:

为提高再制造零部件利用率并提升再制造复杂机械产品的装配精度,提出了一种面向再制造复杂机械产品装配过程的质量控制点公差带在线优化方法。在分析再制造复杂机械产品装配特点的基础上,对关键工序的质量控制点公差带进行细粒度划分;从装配精度角度出发,综合考虑装配过程中的质量损失和成本差异,以尺寸链为约束,构建了公差带优化模型,并研究了基于遗传算法的模型求解过程;在此基础上,提出了基于历史数据的正向推理模式,以及基于装配实时信息的逆向推理模式,推导出装配优化方案集并对车间异常情况作出及时响应;最后,开发出再制造发动机装配过程在线质量控制系统原型,验证了该方法的可行性和有效性。

关键词: 再制造, 装配过程;质量;公差带在线优化

Abstract:

To improve the assembly precision of remanufactured complex mechanical products and the utilization ratio of remanufactured parts, an online tolerance optimization approach for remanufactured complex mechanical product assembly processes was put forward. First, the tolerance zone of the key process was divided into several zones with fine granularity based on the analysis of remanufactured complex mechanical product assembly characteristics. Second, under dimensional chain constraints, based on genetic algorithm an online tolerance optimization model was established with the minimum quality loss and comprehensive cost as target. Then a forward inference mode based on historical data and an backward inference mode based on the real-time assemble information were proposed respectively, which can dynamically deduce the optimal assembly scheme set guiding the remanufacturing assembly process and timely response to the abnormal. Finally, an online quality control prototype system for the remanufactured engine assembly in a power corporation remanufacturing assembly line was developed, which shows the feasibility and validity of the proposed strategy.

Key words: remanufacturing, assembly process, quality, online tolerance optimization

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