计算机集成制造系统 ›› 2014, Vol. 20 ›› Issue (11): 2798-2807.DOI: 10.13196/j.cims.2014.11.018

• 产品创新开发技术 • 上一篇    下一篇

基于互信息和博弈论的复杂机械产品装配质量控制阈在线优化方法及应用

刘明周,王小巧+,马靖,张铭鑫,刘从虎   

  1. 合肥工业大学机械与汽车工程学院
  • 出版日期:2014-11-30 发布日期:2014-11-30
  • 基金资助:
    国家973计划资助项目(2011CB013406)。

Online control threshold optimization method for complex mechanical products assembly process based on mutual information and game theory

  • Online:2014-11-30 Published:2014-11-30
  • Supported by:
    Project supported by the National Major Project of National Basic Research Program,China(No.2011CB013406).

摘要: 为提高复杂机械产品的装配精度和装配稳定性,提出一种基于互信息和博弈论的复杂机械产品装配过程质量控制阈在线优化方法。在分析复杂机械产品装配特点的基础上,基于互信息表征了装配质量控制点之间的耦合关系,建立了装配质量稳定性测度模型。为保证装配精度,以装配成本(质量损失成本和装配调整成本)最小化为目标,阐述了装配成本与控制阈的关系。将装配稳定性、装配成本要素之间的冲突问题转化为数学模型,基于博弈论方法进行冲突消解,获得最优装配质量控制阈。以模型发动机缸盖螺栓拧紧为例,设计开发了装配质量控制阈优化系统,验证了该方法的可行性和有效性。

关键词: 装配稳定性, 装配成本, 控制阈在线优化, 互信息, 博弈论

Abstract: To improve assembly precision and assembly stability for complex mechanical products,an online control threshold optimization approach based on mutual information and game theory was put forward.Based on analyzing the characteristic of complex mechanical products assembly,the coupling relation between the control points of assembly quality based on mutual information was represented,and the assembly quality stability measurement model was built.In the case of ensuring the assembly precision,with the goal of minimizing the assembly cost (the quality loss cost and the assembly cost),the relationship between the assembly cost and control threshold was discussed.Based on the game theory,the conflict problem between assembly stability and assembly cost factors were converted into mathematical model to prognosticate the optimal assembly quality control threshold.An example of engine cylinder head was taken as the example to develop the assembly quality control threshold optimization system,and the feasibility and effectiveness of the proposed method was validated.

Key words: assembly stability, assembly cost, online control threshold optimization, mutual information, game theory

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