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Yongqiang Guan,Jianmei Wang,Ke Ning,Dingbang Hou 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.10
Taking the double-cone expansion joint sleeve (EJS) as an example, this paper proposes a hybrid prediction method of load-carrying capacity considering the displacement boundary conditions of EJS and rotation angle of spindle, and a comprehensive optimization method for the structure of EJS is established using this method. Firstly, based on the thickwalled cylinder theory and considering the displacement boundary conditions of interference contact surface, a new calculation method for calculating torque is presented, and the main parameters affecting load-carrying capacity are determined. Secondly, the finite element method is used to simulate assembly process and working process of EJS to obtain the ultimate torque, the effects of inner ring, outer ring, taper, elastic modulus, and friction coefficient are investigated. Based on the hybrid prediction results of load-carrying capacity, the multi-objective optimization is carried out using genetic algorithm through the construction of orthogonal experimental combination, the optimization of structural parameters of EJS is realized. The results indicate that the maximum equivalent stress is reduced by 20.88 %, the ultimate torque is increased by 0.23 %, and the mass is reduced by 5.11 %. It is proved that the method can effectively reduce maximum equivalent stress and solve design defects caused by stress concentration.
Multi-objective intelligent cooperative design for interference fit of the conical sleeve
Ke Ning,Jianmei Wang,Pu Li,Dan Xiang,Dingbang Hou 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.8
This paper deals with the multi-objective intelligent cooperative optimization for interference fit of conical sleeve. The influence of various factors on contact pressure of conical sleeve was quantitatively analyzed, and the relationship among multi-objectives and multivariables was comprehensively built. Take the cone sleeve of oil film bearing as the research object, the key factors of the cone sleeve were determined with a combination of actual situations, and its sample data was obtained by central composite test design. Considering the multi-objective involving yield strength, torque and mass, the approximate model of the response surface based on the kriging algorithm was given. Then, a multi-objective intelligent cooperative design method for interference fit of the cone sleeve was established by solving the NSGA-II algorithm. Example analysis has shown that such a method makes up for the deficiency of theoretical design to ignore the stress concentration problem, and its accuracy is 32 times that of the BP neural network algorithm. Finally, the experiments verified the correctness of this method.