废旧机电产品再制造过程质量智能控制理论与方法研究

Remanufacturing product quality has been one of the most key factors of constraining the development of greening remanufacturing. Furthermore, quality control of remanufacturing process is still difficulty and importance. On the basis, the law and main influencing factors of waste electromechanical product in the process of remaufacutring are analyzed in depth, product lifecycle oriented quality model in remanufacturing process of waste electromechanical product. For complexity and uncertainty of waste electromechanical prodcut, decision model of uncertain quality information, multi-objectives and fuzzy is presented to determine its quality attribute; on the basis, a method of design quality control of waste electromechanical product based on the combination of extension theory and knowledge reuse is proposed; with full consideration of complexity and time variation in remanufacturing process, quality contorl model in remanufacturing process based on hybrid intelligent learing is put forward, which can solve the problems of bad performance and application of process mornitoring and diagnosis on conventional method; finally, in order to assure that the whole process of wasted electromechanical remanufacturing can continuously meet customer's requirements, a dynamic quality evaluation model of waste electromechanical product remanufacturing is proposed, which can realize multi-level, comprehensive and scientific quality evaluation for the whole remanufacturing process of wasted electromechanical product, so that assure product lifecycle oriented remanufacturing quality of wasted electromechancal product. Therefore, the studies will be important significance to development and industrialization of domesitic remanufacturing.

再制造产品质量是再制造企业生存发展的关键因素。而针对复杂的再制造过程，质量控制依然是再制造的重点难点。基于此，本项目深入分析废旧机电产品再制造过程中质量的形成规律及影响因素，构建面向产品全生命周期的废旧机电产品的再制造过程质量模型。针对废旧机电产品的复杂情况和高度不确定性，提出一种基于质量信息不确定的、多目标模糊决策模型，确定废旧件的再制造质量属性；在此基础上，提出基于可拓理论与知识重用的废旧机电品再制造设计质量控制方法；充分考虑再制造过程的复杂性、时变性，提出一种基于混合智能学习的再制造过程质量控制模型，解决传统方法的过程监控和诊断性能较差和可应用性较弱的问题；最后，针对废旧机电产品的再制造动态过程，提出一种基于G1法的动态质量综合评价方法，实现对再制造过程的多层次、全方位、科学的质量评价，全面保证废旧机电产品的再制造质量。因此，本项目的研究对我国再制造的发展及其产业化具有重要意义。

废旧机电产品本身质量与服役工况的不确定性，导致其再制造过程复杂与不确定，从而使再制造产品质量控制更加困难。基于此，项目以废旧机床的再制造过程为例，构建了废旧机床再制造过程质量模型，进一步揭示了再制造质量特性在再制造过程中不同阶段的质量映射、转化关系。针对废旧机床零件的复杂情况和高度不确定性，提出了废旧零件可再制造质量决策方法，实现了废旧零件可再制造质量的有效分级（即：再利用、可修复、再制造与再循环）。在此基础上，提出了废旧机床再制造设计质量参数规划方法，有效将客户需求转化为废旧机床的再制造质量特征，最大限度满足顾客需求。而重新规划的质量参数很可能与废旧机床的原有结构、功能或性能方面会产生冲突，提出了基于TRIZ与可拓发散树的冲突消解方法，给出再制造设计中存在的物理冲突与技术冲突的解决方案，实现了废旧机床再制造创新设计。针对废旧零件再制造过程存在极大的不确定性，提出了一种基于动态、非正态分布EWMA控制图的再制造过程质量控制方法，实现动态再制造过程质量的自适应监控。最后，建了废旧机床再制造过程动态质量评价模型，并针对该评价指标体系的模糊性、多层次、多因素相互联系又相互制约等问题，提出了一种基于G1与模糊综合评价相结合的废旧机床可再制造质量评价法，解决了传统评价方法主观性强、一致性检验导致效率低等问题，实现对废旧机床的整个再制造过程进行多层次、全方位、科学的质量评价。因此，项目研究成果的应用极大地提高了再制造过程质量控制的能力，克服了传统质量控制方法存在的一些缺陷，提高了再制造系统的稳定性，从而有效地提高再制造产品质量。同时，也为废旧机电产品再制造过程质量控制的应用研究奠定了理论与实践基础。