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Computational Thermal Sciences: An International Journal
ESCI SJR: 0.249 SNIP: 0.434 CiteScore™: 1.4

ISSN Print: 1940-2503
ISSN Online: 1940-2554

Computational Thermal Sciences: An International Journal

DOI: 10.1615/ComputThermalScien.2017019029
pages 151-163

DEVELOPMENT AND VALIDATION OF THE 3D TEMPERATURE FIELD SIMULATION FOR THE TILTING PAD JOURNAL BEARINGS

Mengxuan Li
Institute of Advanced Manufacturing Engineering, Zhejiang University, Hangzhou, PR China
Shuiying Zheng
Institute of Chemical Machinery Engineering, Zhejiang University, Hangzhou, PR China
Guangyao Ying
Electric Power Scientific Research Institute of Zhejiang Province, State Grid Corporation of China, Hangzhou, PR China
Qiang Li
College of Chemical Engineering, China University of Petroleum, Qingdao, PR China

ABSTRACT

When it comes to prediction of the journal bearing performances, computational fluid dynamics (CFD) has been considered as a well-established method, which is much commonly used nowadays. Moreover, valuable outcomes, and even breaking through, can be expected when introducing CFD into the analysis of tilting pad journal bearings (TPJBs). This paper aims to apply this new 3D CFD method in TPJB thermal performance prediction. Completed in FLUENT, the present simulations have taken various thermal factors into consideration, including the lubricant properties changing with temperature variations and the conjugate heat transfer from the oil to the pads. In the transient calculations, a valid dynamic mesh algorithm was developed to cope with mesh updating in the paper-thin oil film area. The results generated from the simulations were verified by experimental measurements in other literature. Particularly, pad surface temperatures obtained from the simulations indicate a more accurate temperature distribution prediction than the traditional 2D Reynolds equation method. In addition, according to the calculations on flow fields carried out at different positions of the shaft center, the findings indicate that the changes in thickness of the oil film on the loaded pads lead to significant variations in maximum bearing temperature. In summary, the 3D CFD method, with better accuracy and more flow-field details available, ensures a more effective and efficient way of TPJB thermal performance prediction.


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