面向云制造资源的公差设计方法研究

发布时间：2018-05-12 12:05

本文选题：云制造 + 制造资源　；参考：《浙江大学》2016年博士论文

【摘要】：本文在分析公差设计以及云制造资源的国内外研究现状的基础上,结合国家自然科学基金项目"基于功能-结构并行分析的公差设计理论与方法"(51275464)和"复杂混合制造系统能效优化理论与方法研究"(U1501248),开展了面向云制造资源的公差优化设计方法研究,建立了云制造资源到产品制造资源需求的映射关系,提出了基于多元过程能力指数的云制造资源的优选方法,在此基础上开展了面向多制造资源环境下的公差优化设计研究。第1章:综述了计算机辅助公差设计方法的理论和研究现状,论述了云制造以及云制造环境下制造资源的研究现状。分析了论文的研究背景和意义,给出了本论文的研究内容和总体框架。第2章:研究云制造的制造模式与架构,根据云制造的需求和云制造资源的特征提出面向云制造资源的公差优化过程框架。第3章:研究产品生长型设计方法,实现在产品公差设计过程中根据制造资源使用方需求对云制造资源进行搜索,构建云制造资源到产品制造资源需求的映射关系。第4章:研究了云制造环境下的资源优选方法。基于直觉模糊理论,通过衰退函数对不同时间尺度的新旧资源数据进行统一,建立多元过程能力评价指标,引入直觉模糊集合的优势度实现了云制造资源的优选。第5章:研究多制造资源环境下的公差优化设计方法。通过构建制造资源相互竞争构成非合作博弈关系、以及公差设计单元相互效仿构成进化博弈关系,在此基础上提出双层公差设计模型,实现面向多制造资源的公差设计。第6章:基于MATLAB开发了面向云制造资源的公差优化设计原型系统,并进行实例验证。第7章:总结本文的主要研究内容,对面向云制造资源的公差设计方法进一步开展工作进行探讨。
[Abstract]:In this paper, based on the analysis of tolerance design and the research status of cloud manufacturing resources at home and abroad, Combined with the National Natural Science Foundation of China "tolerance Design Theory and method based on Function-Structure parallel Analysis" (51275464) and "Research on Energy efficiency Optimization Theory and method of complex Hybrid Manufacturing system" (U1501248), tolerance for cloud manufacturing resources was carried out. Research on optimal Design method, The mapping relationship between cloud manufacturing resources and product manufacturing resource requirements is established, and the optimal selection method of cloud manufacturing resources based on multivariate process capability index is proposed. On this basis, the tolerance optimization design for multi-manufacturing resource environment is studied. Chapter 1: the theory and research status of computer-aided tolerance design are reviewed, and the research status of cloud manufacturing and manufacturing resources in cloud manufacturing environment is discussed. The research background and significance of the thesis are analyzed, and the research content and the overall framework are given. Chapter 2: the manufacturing model and architecture of cloud manufacturing are studied. According to the requirements of cloud manufacturing and the characteristics of cloud manufacturing resources, the tolerance optimization process framework for cloud manufacturing resources is proposed. Chapter 3: research the method of product growth design, realize the search of cloud manufacturing resource according to the demand of the user of manufacturing resource in the process of product tolerance design, and construct the mapping relationship between cloud manufacturing resource and product manufacturing resource demand. Chapter 4: the method of resource selection in cloud manufacturing environment is studied. Based on intuitionistic fuzzy theory, the data of new and old resources on different time scales are unified by the decay function, and the evaluation index of multivariate process capability is established, and the superiority degree of intuitionistic fuzzy set is introduced to realize the optimal selection of cloud manufacturing resources. Chapter 5: study the optimal design method of tolerance in the environment of multiple manufacturing resources. By constructing the non-cooperative game relation of manufacturing resources competing with each other, and the tolerance design unit emulating each other to form evolutionary game relationship, a two-layer tolerance design model is proposed to realize the tolerance design for multi-manufacturing resources. Chapter 6: a prototype system of tolerance optimization design for cloud manufacturing resources based on MATLAB is developed and verified by an example. Chapter 7: the main contents of this paper are summarized, and the further research on tolerance design method for cloud manufacturing resources is discussed.
【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：TG801

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