并行公差稳健设计方法研究

发布时间：2018-05-06 12:57

  本文选题：公差分配 + 质量损失　； 参考：《电子科技大学》2012年硕士论文

【摘要】：公差是连接产品设计与制造的桥梁,公差设计直接影响产品的制造成本大小和质量的优劣程度。目前对公差的研究主要侧重于对成本和质量的控制,对公差设计过程的稳健性考虑较少。论文首先分析了公差分配的关键问题,接着分别从敏感稳健性和可行稳健性两个方面着手,对并行公差的稳健设计方法进行研究。 一般情况下要获得更好的产品性能需要更小的公差值,但是这样会导致成本的提高。公差的敏感稳健设计方法就是通过名义尺寸值的调整使产品性能对公差的敏感度变小,从而有效地控制成本。在实际的加工过程中机器的加工能力会在一定的小范围内波动,造成约束条件的改变,有可能使传统的优化解成为不可行解。针对这一问题,论文提出了公差的可行稳健性设计方法,建立了可行稳健性的设计模型,并应用最小灵敏域方法对模型进行求解,得到了可行稳健优化解。 鉴于传统遗传算法搜索性能较弱的问题,采用了免疫遗传算法对建立的敏感稳健数学模型进行了优化分配。其次,论文在分析产品的质量损失函数问题的基础上,针对实际产品难以获得准确的质量损失系数的这一难点,提出建立双目标优化数学模型的方法,将制造成本与质量损失分别作为设计的目标,扩大了质量损失的使用范围,采用多目标优化算法：NSGA-Ⅱ来求解,得到的多个解能够满足市场多样化的需求。 本文的最后通过单向离合器和活塞-气缸装配的并行设计实例验证了所提出理论和方法的有效性,并对公差设计的未来研究工作进行了有益的探讨。
[Abstract]:Tolerance is a bridge connecting product design and manufacture. Tolerance design directly affects the manufacturing cost and quality of products. At present, the research on tolerance mainly focuses on the control of cost and quality, but less on the robustness of tolerance design process. In this paper, the key problem of tolerance allocation is analyzed, and then the robust design method of parallel tolerance is studied from two aspects: sensitive robustness and feasible robustness. Generally, smaller tolerances are required to achieve better product performance, but this can lead to higher costs. The sensitive robust design method of tolerance is to reduce the sensitivity of product performance to tolerance by adjusting nominal dimension value, so as to effectively control the cost. In the actual processing process, the machining ability of the machine will fluctuate in a certain range, resulting in the change of the constraint conditions, which may make the traditional optimization solution become the infeasible solution. In order to solve this problem, the feasible robust design method of tolerance is proposed, and the design model of feasible robustness is established. The model is solved by using the minimum sensitivity domain method, and the feasible robust optimal solution is obtained. In view of the weak search performance of the traditional genetic algorithm, the immune genetic algorithm is used to optimize the allocation of the sensitive and robust mathematical model. Secondly, on the basis of analyzing the problem of product quality loss function, aiming at the difficulty of obtaining accurate quality loss coefficient in actual product, the paper puts forward a method of establishing double objective optimization mathematical model. The manufacturing cost and the quality loss are taken as the target of the design, and the use range of the quality loss is enlarged, and the multi-objective optimization algorithm: NSGA- 鈪，

本文编号：1852401