Optimization of grinding efficiency considering surface integrity of bearing raceway

In order to improve the grinding efficiency of bearing raceways, a multi-objective optimization method that considers the surface integrity constraints of the bearing raceway is proposed. Appropriate design points are selected through an orthogonal test, and a response surface model of the grinding parameters along with the response output is established on the basis of the test results. Explicit expressions for the grinding force and roughness are formulated, and the constraints necessary to meet the quality requirements are obtained. The genetic algorithm NSGA-II is applied to the multi-objective optimization of grinding time and material removal rate, and the Pareto set is solved. The results of the study show that using optimized grinding parameters can reduce the grinding time and material removal rate, and can also help broaden the available knowledge base on high-speed and high-efficiency grinding technology.

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