MOGA Optimization Model of Centering Roller Bearing under Combined Empowerment
In order to improve the balance of stress distribution on the response surface of self-aligning roller bearings and solve the problem of failure caused by stress changes on the response surface of self-aligning roller bearings,an optimization method for the response surface of self-aligning roller bearings is proposed.The objective weighting model of the response surface of self-a-ligning roller bearing is established,and the linear stress distribution of the response surface is analyzed by Hertz contact theory.Multi-objective Genetic Algorithm(MOGA)is used to optimize the response surface finite element model and complete the construc-tion of the response surface optimization model.The experimental results show that the response surface stress distribution optimiza-tion test curve is stable as a whole,the difference between the initial value and the end value is small,and the overall value range is significantly improved;The target model is more uniform for continuous violence.It is proved that the target model has obvious effect in the optimization of the stress distribution of the response surface,which can ensure the unity of parameters,and has certain stability,reliability and effectiveness.
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