Multi-objective optimization design method of spiral oil wedge bearing

Abstract

The invention relates to the technical field of bearing designing, in particular to a multi-objective optimization design method of a spiral oil wedge bearing. According to the method, an oil film property calculation method based on solving a Navier-Stokes function is used for calculating the oil film properties of the spiral oil wedge bearing, a minitype multi-objective genetic algorithm is used for conducting multi-objective optimization design of a bearing structure, and a radial basis function surrogate model is established in the optimization process for calculating. The method comprises the following specific steps of establishing a mathematical model of a spiral oil wedge bearing multi-objective optimization design problem, sampling experimental design methods, establishing the radial basis function surrogate model, evaluating the precision of the surrogate model, using the minitype multi-objective genetic algorithm for solving the multi-objective optimization design problem and acquiring an optimal compromise solution. The multi-objective optimization design method is suitable for the multi-objective project optimization problem of the spiral oil wedge bearing, high global optimization capacity is achieved, the optimization efficiency can be effectively improved, the solving efficiency and the calculation precision of the algorithm are improved, and the time for calculation is little.

Description

technical field [0001] The invention relates to the technical field of bearing design, in particular to a multi-objective optimization design method for a spiral oil wedge bearing. Background technique [0002] The spiral oil wedge bearing is a three-oil wedge dynamic and static pressure sliding bearing, which has three oblique arc-shaped oil chambers, and the three oil chambers are evenly distributed. The structure of the oil chamber of the spiral oil wedge bearing is complex. During the structural design, due to the bearing performance indicators such as stiffness and temperature rise, they often conflict with each other. Therefore, in order to design a spiral oil wedge bearing with excellent performance, it is necessary to carry out multi-objective Optimized design. [0003] At present, the existing research on the spiral oil wedge bearing includes the influence of various structural parameters on the bearing performance, but the parameters analyzed are not comprehensive...

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Problems solved by technology

[0004] Aiming at the deficiencies of the above-mentioned prior art, the present invention solves the defect of insufficient global optimization ability in the optimization design of the spiral oil wedge bearing, and at the same time, in order to overcome the fact that the calculation accuracy caused by many assumptions for solving the Reynolds equation in the prior art cannot meet the needs problem, and provide a way to improve the solution efficiency of the algorithm by greatly reducing the number of individuals in the evolutionary population in the genetic algorithm, which is suitable for multi-objective engineering optimization problems, has a high global optimization ability, can effectively improve the optimization efficiency, and is more accurate The characteristics of the oil film of the bearing are calculated to improve the calculation accuracy and the multi-objective optimization design method of the spiral oil wedge bearing with less calculation time

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