Paper
8 April 2024 Application of low Reynolds number modified SST model in numerical simulation of superlaminar flow of oil film in tilt pad journal bearings for rotary condenser
Chaofeng Zhang, Dongqing Zhang, Wenqiang Zhao, Zuosheng Li, Lingling Xu, Guohua Zhang, Jinjun Huang, Di Xiong, Jianming Yang
Author Affiliations +
Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130900N (2024) https://doi.org/10.1117/12.3025813
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China
Abstract
Tilting tile journal bearings are widely used in rotary condensers. The oil film flow in them gradually gets rid of laminar flow and develops into turbulent flow. To accurately analyze this kind of superlaminar flow flow process, it is necessary to correctly describe and simulate the superlaminar flow flow process. In this paper, direct numerical simulation is used to study the superlaminar flow and find that the superlaminar flow is near-wall turbulence. Aiming at the near-wall turbulence with a low Reynolds number, the SST model modified by a low Reynolds number is used for simulation. The simulation results are compared with the experimental and direct numerical simulation results. The results show that: The SST model modified by low Reynolds number can accurately predict the transition from laminar flow to turbulent flow, and verifies that the phenomenon of superlaminar flow in tilting journal bearing is Taylor-Couette near-wall turbulence.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chaofeng Zhang, Dongqing Zhang, Wenqiang Zhao, Zuosheng Li, Lingling Xu, Guohua Zhang, Jinjun Huang, Di Xiong, and Jianming Yang "Application of low Reynolds number modified SST model in numerical simulation of superlaminar flow of oil film in tilt pad journal bearings for rotary condenser", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130900N (8 April 2024); https://doi.org/10.1117/12.3025813
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KEYWORDS
Numerical simulations

Turbulence

Computer simulations

Viscosity

Film thickness

Numerical analysis

Turbines

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