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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science >Reliability allocation method based on multidisciplinary design optimization for electromechanical equipment
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Reliability allocation method based on multidisciplinary design optimization for electromechanical equipment

机译:基于多学科设计优化的机电设备可靠性分配方法

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摘要

Reliability design is one important link to assure the product's quality. Reliability allocation is the main task of reliability design, which is influenced by cost, manufacturing consistency, and other factors. Reliability, cost, and manufacturing consistency are coupled and influenced by each other. To find the global optimal reliability indices, one modeling and solving method of reliability allocation based on multidisciplinary design optimization was proposed in the paper. The influence factors of reliability allocation were analyzed and calculated or fuzzy processed. The reliability allocation optimization models were created, and the models were decomposed by the calculation frame of collaborative optimization. The genetic algorithm of the system-level optimization and the sequential quadratic programming algorithm of the disciplinary-level optimization were adopted. As one typical electromechanical equipment, CNC cylindrical grinder was allocated of reliability by the method proposed in the paper. The results showed that the cost can be dropped 3.45%, 4.76%, 4.72%, and 8.45% compared by equal allocation method, fuzzy allocation method, AGREE allocation method, and actual cost, respectively. The reliability allocation method proposed in the article can be used in design of electromechanical equipment to reduce costs.
机译:可靠性设计是确保产品质量的重要环节。可靠性分配是可靠性设计的主要任务,可靠性设计受成本,制造一致性和其他因素的影响。可靠性,成本和制造一致性相互耦合并相互影响。为了找到全局最优可靠性指标,提出了一种基于多学科设计优化的可靠性分配建模与求解方法。对可靠性分配的影响因素进行了分析计算或模糊处理。建立了可靠性分配优化模型,并通过协同优化计算框架对模型进行了分解。采用了系统级优化的遗传算法和学科级优化的顺序二次规划算法。作为一种典型的机电设备,采用本文提出的方法对数控圆柱磨床进行了可靠性分配。结果表明,与平均分配法,模糊分配法,AGREE分配法和实际成本相比,成本分别可降低3.45%,4.76%,4.72%和8.45%。本文提出的可靠性分配方法可用于机电设备的设计中,以降低成本。

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