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Optimized preparation method of hydrodynamic lubrication radial sliding bearing

A technology of radial sliding and hydrodynamic pressure, applied in multi-objective optimization, design optimization/simulation, mechanical equipment, etc., to achieve the effect of improving performance, improving performance, and alleviating contradictions

Pending Publication Date: 2021-10-22
SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
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  • Application Information

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Problems solved by technology

The traditional method of bearing design is to optimize the design through empirical methods, but this method often requires a lot of trial and error

Method used

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  • Optimized preparation method of hydrodynamic lubrication radial sliding bearing
  • Optimized preparation method of hydrodynamic lubrication radial sliding bearing
  • Optimized preparation method of hydrodynamic lubrication radial sliding bearing

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Embodiment Construction

[0050]The present invention will be described in detail below in conjunction with the embodiments shown in the accompanying drawings.

[0051] The present invention is a method for preparing an optimized hydrodynamic lubricated radial sliding bearing based on a multi-objective optimization algorithm. The method includes the following steps:

[0052] Step 1: Establish the optimal design model (objective function) of the hydrodynamic lubricated radial sliding bearing;

[0053] Step 2: Basic theoretical description of MeEA;

[0054] Step 3: The multi-objective evolutionary algorithm with multiple ecological environment selection strategies is used to optimize the hydrodynamic lubricated radial sliding bearing, and a set of solution sets is obtained;

[0055] Step 4: Compare the optimized results with the traditional design scheme;

[0056] Step 1.1: The optimal design of a hydrodynamically lubricated radial plain bearing consists of three parts: design variables, objective func...

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Abstract

The invention discloses an optimized preparation method of a hydrodynamic lubrication radial sliding bearing, and relates to a preparation method of a sliding bearing, in particular to an optimized preparation method of the hydrodynamic lubrication radial sliding bearing based on a multi-objective evolutionary algorithm (MeEA) of a multi-ecological environment selection strategy, and a multi-objective optimization design of the sliding bearing is realized by adopting the multi-objective evolutionary algorithm based on the multi-ecological environment selection strategy. The method comprises the following steps: firstly, dividing a target space into a plurality of different types of ecological environments in a population evolution process; secondly, in the aspect of environment selection, preferentially considering the convergence or diversity of the ecological environment, and maintaining the overall diversity of the population later; and finally, applying the method to the optimal design of the hydrodynamic lubrication radial sliding bearing. Through the algorithm optimization, the effect of the fluid dynamic pressure lubrication radial sliding bearing after optimization design is remarkable, and a method basis is provided for improving the performance of the bearing in the actual working condition.

Description

technical field [0001] The invention relates to a sliding bearing design method, in particular to an optimized preparation method of a fluid dynamic pressure lubricated radial sliding bearing. The method is a preparation method for the optimization of hydrodynamic lubricated radial sliding bearings based on the multi-objective evolutionary algorithm (MeEA) of multi-ecological environment selection strategy. Background technique [0002] Hydrodynamic lubricated radial sliding bearings are widely used in high-speed and light-load working conditions due to their smooth, reliable and noise-free features. Sliding bearings seem to have a simple external geometry, but different shape parameter settings may have different effects on bearing performance, such as fluid friction coefficient, heat generation, and load-carrying capacity coefficient. The traditional approach to bearing design is to optimize the design through empirical methods, but this method often requires a lot of tri...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/28G06F111/04G06F111/06
CPCG06F30/17G06F30/28G06F2111/04G06F2111/06Y02T10/40
Inventor 高淑芝张义民仰雷雨
Owner SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY