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Multidisciplinary design optimization of a gear train transmission
Concurrent Engineering Pub Date : 2019-07-18 , DOI: 10.1177/1063293x19862605
Brahim Mahiddini 1, 2 , Taha Chettibi 3 , Khaled Benfriha 2 , Amézian Aoussat 2
Affiliation  

This article presents a method for multidisciplinary design optimization of a one-stage gear train transmission for an industrial application. The formulation and implementation that enable the integrated design of the gearbox elements (gears, shafts, and bearings) are detailed. The analytical formulation problem is based on four disciplines: product reliability, customer preference, product cost, and structure. The proposed integrated design process takes into account constraints imposed by quality standards. The optimization of the gear train transmission is performed according to a multidisciplinary feasible architecture and uses a population-based evolutionary algorithm (non-dominated sorting genetic algorithm II) to generate Pareto-optimal fronts. Finally, a detailed case study is presented to illustrate the effectiveness of the proposed approach.

中文翻译:

齿轮系传动的多学科设计优化

本文介绍了一种用于工业应用的单级齿轮传动系统的多学科设计优化方法。详细介绍了实现齿轮箱元件(齿轮、轴和轴承)集成设计的制定和实施。分析公式问题基于四个学科:产品可靠性、客户偏好、产品成本和结构。提议的集成设计过程考虑了质量标准施加的限制。齿轮系传动的优化是根据多学科可行架构进行的,并使用基于群体的进化算法(非支配排序遗传算法 II)来生成帕累托最优前沿。最后,
更新日期:2019-07-18
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