机械稳健可靠性优化设计

发布时间：2018-07-04 22:31

本文选题：可靠性 + 6σ稳健设计　；参考：《太原科技大学》2011年硕士论文

【摘要】：近年来,随着生活水平的日益提高,人们对产品质量的要求越来越高。研发物美价廉的产品早已成为企业在市场中竞争的重要手段。本课题在国内外研究可靠性设计理论,容差设计技术的基础上,结合当前流行的群智能优化算法,研究、探讨了稳健可靠性优化设计理论。同时,针对机械产品的稳健性评估问题,本文利用仿真软件Isight联合MATLAB,使之得到了很好的解决。本文在四个方面进行了研究工作。首先,简要介绍了可靠性理论及其常规的设计方法,着重讨论了如何应用一次二阶矩法和蒙特卡罗法进行可靠性分析。另外,通过引入容差设计技术,为稳健可靠性的分析提供了理论支持。然后,建立了可靠性概率优化设计的一般数学模型。由于该优化数学模型很难寻找到理想中的稳健解,在此基础上,提出了6σ稳健可靠性设计模型,并分别建立了单目标、多目标的6σ稳健可靠性优化设计的数学模型。其次,为寻找最优解,针对工程中单目标、多目标问题具有复杂非线性、多约束、多目标的特点,本文分别研究了具有全局搜索性的、复杂非线性优化的粒子群算法和遗传算法。其中,遗传算法为方便融合其它算法而采用了实数进行编码。最后,采用Isight软件集成Matlab这一平台,分别对实例的常规优化模型和6σ稳健可靠性优化模型所得出的结果进行了稳健性的评估。通过两者结果分析对比,证明了6σ稳健可靠性优化理论是一种行之有效的设计方法。
[Abstract]:In recent years, with the increasing improvement of living standards, people demand higher and higher quality of products. Research and development of inexpensive products has become an important means for enterprises to compete in the market. Based on the research of reliability design theory and tolerance design technology at home and abroad and combined with the popular swarm intelligence optimization algorithm, this paper discusses the robust reliability optimization design theory. At the same time, aiming at the robustness evaluation of mechanical products, the simulation software Isight and MATLAB are used to solve the problem. This paper has carried on the research work in four aspects. Firstly, the reliability theory and its conventional design methods are briefly introduced, and how to use the first-order second-moment method and the Monte Carlo method to analyze the reliability is discussed emphatically. In addition, the tolerance design technology is introduced to provide theoretical support for robust reliability analysis. Then, the general mathematical model of reliability probability optimization design is established. Because the optimal mathematical model is difficult to find the ideal robust solution, the 6 蟽 robust reliability design model is proposed, and the 6 蟽 robust reliability optimization model with single objective and multi-objective is established respectively. Secondly, in order to find the optimal solution, in view of the complex nonlinear, multi-constraint and multi-objective characteristics of single-objective and multi-objective problems in engineering, this paper respectively studies the globally searchable problem. Particle swarm optimization and genetic algorithm for complex nonlinear optimization. In order to fuse other algorithms easily, genetic algorithm uses real number to encode. Finally, based on the platform of integrating Matlab with Isight software, the robustness of the conventional optimization model and the 6 蟽 robust reliability optimization model are evaluated respectively. Through the analysis and comparison of the two results, it is proved that the 6 蟽 robust reliability optimization theory is an effective design method.
【学位授予单位】：太原科技大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH122

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