基于遗传算法的深沟球轴承优化设计研究

The method of applying GA in bearing design based on GA optimum function

给出了基于遗传算法的深沟球轴承优化设计的方法。针对传统算法在深沟球轴承优化设计中全局寻优能力较差问题,以标准遗传算法(Genetic Algorithm GA)的算法参数,采用了最优解保存策略,并运用罚函数法处理约束。为了降低摩擦阻力和减轻磨损,减少发热量,针对轴承发热变形的一个主要因素摩擦进行建模。

This paper proposes the method of applying GA in bearing design based on GA and optimum function. The traditional algorithm for optimal design deep groove ball bearings are less capable of global optimization problems, the article to the standard genetic algorithm （Genetic Algorithm GA） of the algorithm parameters, optimal preservation strategy adopted, and the use of penalty function to handle the constraints. In order to reduce friction and reduce wear, reduce heat. Hot deformation for bearing a major factor in the modeling of friction.