基于粒子群的五垫倾垫滑动轴承设计数值优化

IF 2 3区工程技术 Q2 ENGINEERING, MECHANICAL

Tribology Transactions Pub Date : 2023-09-11 DOI:10.1080/10402004.2023.2254348

Kang Yan, Hulin Li, Jian Sun, Qi Xin, Ning Ding, Dan Jiang, Xianghui Meng

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引用次数: 0

摘要

由于设计参数的不确定性极大地影响了五垫倾垫滑动轴承的性能，因此其设计十分复杂。在本研究中，建立了数值润滑模型来预测TPJB的性能。在此基础上，提出了一种结合润滑模型和粒子群法的综合目标优化方法，与枚举法相比，该方法能准确、快速地获得最优设计参数。优化后TPJB的性能较好，特别是温度和摩擦系数分别降低了约31.1%和35.8%。此外，TPJB的不同应用场景需要综合目标中不同的权重因子组合，这对于不同的设计要求具有重要价值。

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Optimization numerically for five-pad tilting-pad journal bearings design based on particle swarm

The design of five-pad tilting-pad journal bearings (TPJB) is complicated because of the uncertainty of design parameters which affects the performance of TPJB greatly. In this study, the numerical lubrication model is established to predict the performance of TPJB. Furthermore, a new optimal method combining the lubrication model and particle swarm method with a comprehensive target is brought out, which can obtain the optimal design parameters correctly and rapidly compared with enumeration method. The performance of TPJB is better after optimization, especially the temperature and frictional coefficient decreasing by about 31.1% and 35.8%, respectively. Moreover, different application scenarios of TPJB need different weight factor combinations in the comprehensive target, which is valuable for different design requirements.

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来源期刊

Tribology Transactions 工程技术-工程：机械

CiteScore

3.90

自引率

4.80%

发文量

审稿时长

4 months

期刊介绍： Tribology Transactions contains experimental and theoretical papers on friction, wear, lubricants, lubrication, materials, machines and moving components, from the macro- to the nano-scale. The papers will be of interest to academic, industrial and government researchers and technologists working in many fields, including: Aerospace, Agriculture & Forest, Appliances, Automotive, Bearings, Biomedical Devices, Condition Monitoring, Engines, Gears, Industrial Engineering, Lubricants, Lubricant Additives, Magnetic Data Storage, Manufacturing, Marine, Materials, MEMs and NEMs, Mining, Power Generation, Metalworking Fluids, Seals, Surface Engineering and Testing and Analysis. All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief and, if found suitable for further consideration, are submitted for peer review by independent, anonymous expert referees. All peer review in single blind and submission is online via ScholarOne Manuscripts.