Abstract: Aiming at the problem of optimization of the optimal axial displacement length of the working section of the corrugated sleeve under axial compression, the finite element simulation was carried out, and the curve of the axial force varying with the compression was analyzed. According to the geometric parameters of the corrugated sleeve, the orthogonal experimental group was established and simulated by Abaqus. Based on the orthogonal test data, a second-order response surface model of the optimal axial displacement length of the working section corresponding to the maximum axial force of 0.98 to 1 times of the corrugated sleeve in the compression process was constructed, and the genetic algorithm was used to optimize the model. The results show that the relative error between the optimized response and the finite element results is 0.31%, which indicates that the response surface method can approximately replace the finite element analysis. This method provides a basis for the preloading design of drive axle active bevel gear bearings in practical engineering.
Key words: corrugated sleeve; finite element; orthogonal test; secondorder response surface; genetic algorithm