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Optimal Design of Gear Reducer Based on Genetic Algorithm

机译:基于遗传算法的齿轮减速器优化设计

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The shortage of resource in living environment has been concerned increasingly. At the first design stage, people pay more attention to green product manufacturing based on environment management system, energy conservation, development of cleaner products, and waste and pollution reduction. In this paper, a case study was carried out on optimal design of gear reducer based on the rules of Reduce, Reuse, Recycle, and Remanufacture (4R). The mathematical model was presented for minimizing the volume sum of gear reducer. Genetic algorithm (GA) and MATLAB were applied to optimize the design parameters of gear reducer. The result shows that the volume sum of gear reducer by GA was reduced 1.68% than penalty function. The weight of gear reducer and the amount of raw materials were reduced. A valuable reference of designing real gear reducer was provided, and an approach of promoting development of cycle economy and accelerating the development of national economy were indicated.
机译:人们日益关注生活环境中的资源短缺。在最初的设计阶段,人们更加关注基于环境管理系统,节能,开发清洁产品以及减少废物和污染的绿色产品制造。本文基于减速,重复使用,回收和再制造(4R)的规则,对齿轮减速器的优化设计进行了案例研究。提出了用于最小化齿轮减速器总体积的数学模型。应用遗传算法和MATLAB对齿轮减速器的设计参数进行优化。结果表明,遗传算法齿轮减速器的体积总和比罚函数减少了1.68%。减少了齿轮减速机的重量并减少了原材料的数量。为实际齿轮减速器的设计提供了参考,并提出了促进循环经济发展,加快国民经济发展的途径。

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