润滑
纹理(宇宙学)
方位(导航)
流体轴承
推力轴承
摩擦学
材料科学
粒子群优化
机械工程
计算机科学
推力
复合材料
工程类
人工智能
算法
图像(数学)
作者
Mingming Lu,Chunxing Gu,Jingfeng Shen
标识
DOI:10.1177/13506501241272916
摘要
This paper presents a parameterized model to optimize the texture units using an improved particle swarm optimization. The texture units are optimized under three lubrication states: boundary lubrication, mixed lubrication, and hydrodynamic lubrication, by utilizing the Stribeck curve. The optimal texture units can be applied to journal bearings and thrust bearings in different operating conditions to achieve maximum load-carrying capacity. The paper applies the optimal textures under the three lubrication states to the start-up stage of journal bearings to examine the lubrication performance and dynamic characteristics of the textured journal bearing system. The results demonstrate that compared to the untextured journal-bearing system, the introduction of optimal textures improves the tribological performance of the journal-bearing system, and the optimal textured units under hydrodynamic lubrication have the best friction reduction effect. Furthermore, it is found that the introduction of textures has no significant effect on the dynamic characteristics of the journal bearings.
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