Chen Bo, Yang Jiyue, Tang Haoyu, Wu Yahang, Zhang Haoran
School of Intelligent Equipment, Shandong University of Science and Technology, Tai'an 271019, China.
Micromachines (Basel). 2024 Dec 31;16(1):54. doi: 10.3390/mi16010054.
The flexible rotor, as a crucial component of the traveling wave rotary ultrasonic motor, effectively reduces radial friction. However, issues such as uneven contact between the stator and rotor, as well as rotor-deformation-induced stress, still persist. This paper presents an optimization method that combines the Kriging response surface model with a multi-objective genetic algorithm (MOGA). Drawing on the existing rotor structure, a novel rotor design is proposed to match the improved TRUM60 stator. During the optimization process, the contact surface between the stator and rotor is taken as the optimization target, and an objective function is established. The Kriging response surface model is constructed using Latin hypercube sampling, and an MOGA is employed to optimize this model, allowing the selection of the optimal balanced solution from multiple candidate designs. Following stator optimization, the objective function value decreased from 0.631 to 0.036, and the maximum contact stress on the rotor inner ring was reduced from 32.77 MPa to 9.96 MPa. Experimental validation confirmed the reliability of this design, significantly improving the overall performance and durability of the motor.
柔性转子作为行波旋转超声电机的关键部件，有效降低了径向摩擦。然而，定子与转子之间接触不均以及转子变形引起的应力等问题仍然存在。本文提出了一种将克里金响应面模型与多目标遗传算法（MOGA）相结合的优化方法。借鉴现有的转子结构，提出了一种新颖的转子设计，以匹配改进后的TRUM60定子。在优化过程中，将定子与转子之间的接触面作为优化目标，并建立了目标函数。利用拉丁超立方采样构建克里金响应面模型，并采用MOGA对该模型进行优化，从而能够从多个候选设计中选择最优的平衡解。定子优化后，目标函数值从0.631降至0.036，转子内圈的最大接触应力从32.77MPa降至9.96MPa。实验验证了该设计的可靠性，显著提高了电机的整体性能和耐久性。
