| WANG Yu-jun,LI Qiang,ZHANG Shuo,XU Wei-wei,TANG Xin-hao,WANG Zhen-bo.Elastohydrodynamic Lubrication Analysis and Multi-objective Collaborative Optimization of Textured Water-lubricated Thrust Bearings[J],50(5):141-151 |
| Elastohydrodynamic Lubrication Analysis and Multi-objective Collaborative Optimization of Textured Water-lubricated Thrust Bearings |
| Received:July 07, 2020 Revised:August 04, 2020 |
| View Full Text View/Add Comment Download reader |
| DOI：10.16490/j.cnki.issn.1001-3660.2021.05.015 |
| KeyWord:thrust bearing water lubrication surface texture elastohydrodynamic lubrication collaborative optimization |
| Author | Institution |
| WANG Yu-jun |
College of New Energy, China University of Petroleum East China, Qingdao , China |
| LI Qiang |
College of New Energy, China University of Petroleum East China, Qingdao , China |
| ZHANG Shuo |
College of New Energy, China University of Petroleum East China, Qingdao , China |
| XU Wei-wei |
College of New Energy, China University of Petroleum East China, Qingdao , China |
| TANG Xin-hao |
College of New Energy, China University of Petroleum East China, Qingdao , China |
| WANG Zhen-bo |
College of New Energy, China University of Petroleum East China, Qingdao , China |
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| Abstract: |
| The work aims to improve the lubrication performance of textured water-lubricated thrust bearings with non- metallic materials, and to provide reference for the optimal design of water-lubricated thrust bearings. Firstly, the hydrodynamic lubrication model of textured water-lubricated thrust bearing was established based on the Computational Fluid Dynamics (CFD). Subsequently, the interaction between the fluid and structural domain was calculated by the coupled Fluid-Structure Interaction (FSI) method. Finally, with the largest loading capacity and the lowest friction force as the objectives, a multi- objective collaborative optimization method combining the response surface methodology and Non-dominated Sorted Genetic Algorithm-II (NSGA-II) was used to optimize the textured thrust bearings with four different non-metallic materials. With the decrease of the elastic modulus of the bearing material, the maximum pressure value in the bearing decreased and the maximum deformation increased gradually. The optimal textured coverage rate gradually decreased with the decreasing elastic modulus of bearing material. When the textured coverage rate was 20%, the change of bearing material had no obvious effect on the optimal textured depth, but when the textured coverage rate increased to 40% or more, the optimal textured depth gradually increased with the decrease of elastic modulus of bearing material. The optimal textured depth and textured coverage rate had a strong interaction effect with each other under the same bearing material. With the increase of textured coverage rate, the optimal textured depth gradually increased. For the bearing materials with large elastic modulus such as SiC ceramic and nylon, the maximum pressure of fluid in the bearing was significantly increased after the optimization. For the bearing materials with small elastic modulus such as UHMWPE and thordon, the high pressure area was significantly increased after the optimization. In conclusion, the bearing material has significant effect on the lubrication performance, and the optimal textured parameters of the thrust bearing and the optimal textured parameters have a strong interaction effect on each other. Through the multi-objective collaborative optimization of the textured water-lubricated thrust bearing, the lubrication performance of the thrust bearing is significantly improved. |
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