【作者】 张力；

【导师】 范守文；

【作者基本信息】 电子科技大学 ， 机械设计及理论， 2013， 硕士

【摘要】 机械产品设计缺陷辨识是指在产品的设计阶段，对其进行设计缺陷辨识、设计缺陷修正、设计功能验证、可加工性判断等工作。缺陷辨识方法可有效改善传统机械产品的设计研发过程，将设计过程与验证过程合一，实现设计与验证同步，缩短新产品研发周期，降低生产成本。本文以机械产品设计缺陷中的精度设计缺陷为研究对象，采用分级模糊层次分析法、改进人工免疫系统算法、考虑疫苗注入的免疫算法进行缺陷辨识的模型和方法研究，提出了精度设计缺陷辨识的解决方案和理论框架。主要研究内容包括以下几个方面。将机械产品精度设计与企业现实加工能力之间的矛盾作为设计缺陷，采用层次分析法与分级模糊评价法，从产品特征层、方案层、方案隶属度层分层逐级进行了现实加工能力的模糊评价，并结合改进模糊决策理论方法进行了设计缺陷辨识，实现了产品设计与企业现实加工相匹配。结合实例进行分析，证明了方法的有效性。针对机械产品精度设计的可加工性进行研究，提出了一种基于生物免疫机理的改进人工免疫系统算法。算法模拟生物免疫系统识别并消灭外来抗原的过程，结合产品精度设计与企业设备加工能力构造抗原抗体种群，经免疫辨识，定位产品精度设计缺陷。应用理论模型算法到内齿套法兰零件与轧辊端轴套零件设计的现实精度加工分析中，对比实验结果表明算法能够有效辨识产品精度设计缺陷。考虑到在改进人工免疫系统算法中，抗体种群并没有完整表现企业的现实加工能力，因此采用了接种免疫疫苗操作，以丰富抗体种群。其中疫苗集合信息包含：技术人员对设备操作的熟练程度信息；技术人员对设计中可能存在的加工缺陷位置的经验判断信息。通过实例分析，表明疫苗接种算法的有效性。本论文研究的基于模糊层次分析、人工免疫系统和疫苗注入的机械产品精度设计缺陷辨识模型与方法，为机械产品设计缺陷辨识提供了一套行之有效的理论方法。更多还原

【Abstract】 The purpose of mechanical product design defects identification theory and methodis to verify the design functional, judge the reality process and so on during the productdesign stage. Which not only identified design defect but also corrected the defect. Themethod can effectively improve the research and development of the traditionalmechanical product design process, get the design process and the verification processunified and carried out simultaneously. So the method can reduce the cycle of newproduct development and cost.In this thesis, accuracy design defect identification models and methods arediscussed on the basis of fuzzy analytical hierarchy process (AHP), improved artificialimmune system algorithm and vaccine injection based immune algorithm. A solutionand theory framework are proposed.The contradiction between product accuracy design and realistic processingcapacity is considered as design defect. Firstly, the AHP method and fuzzy hierarchyevaluation method are used to evaluate the realistic processing capacity, whichevaluated from product characteristic hierarchy, scheme hierarchy and schememembership hierarchy layer by layer. Secondly, improve fuzzy decision making theoryand method is used to locating the design defect. Finally, correct the design defect thenmake the product accuracy design and realistic processing capacity matched. Theapplication example proved that is effective.The realistic processing capacity of product accuracy design is studied, based onbiological immune mechanism an improved artificial immune principle algorithm ispresented. This algorithm simulate the process of biological immune system destroyinvading antigen. Assume enterprise as organism, the equipment from the enterprise asthe lymphocytes could produce antibodies which represent the production capacity. Alsoassume product design as antigens, into the simulate environment. After processing,antibodies will matching every antigen, and then locate the design defects position.Apply algorithm to reality example analyze and the simulated result prove the algorithmcan identify defects, ensure the design workability. The antibody population from improved artificial immune system algorithm couldnot represent the enterprise reality processing capacity completely. So using vaccinationoperation to enrich the antibody population. Vaccine collection contained two parts ofinformation: one is technical personnel enterprise equipment operating capacity, and theother one is experience judgment of possible defect locations. Applied to the caseanalysis, the results of analysis showed that the effectiveness of vaccination algorithm.Based on fuzzy analytical hierarchy process, artificial immune system and vaccineinjected algorithm, the product precision design defect identifying models and methodspresented in this thesis will provide some effective theories and methods for mechanicalproduct design defect identification.更多还原