Vol.126, No.3, 2021, pp.935-953, doi:10.32604/cmes.2021.014176
OPEN ACCESS
ARTICLE
Numerical Analysis of Labyrinth Seal Performance for the Impeller Backface Cavity of a Supercritical CO2 Radial Inflow Turbine
  • Jinguang Yang, Feng Zhao, Min Zhang*, Yan Liu, Xiaofang Wang
School of Energy and Power, Dalian University of Technology, Dalian, China
* Corresponding Author: Min Zhang. Email:
Received 07 September 2020; Accepted 23 November 2020; Issue published 19 February 2021
Abstract
For a radial inflow turbine (RIT), leakage flow in impeller backface cavity has critical impacts on aerodynamic performance of the RIT and axial force acting on the RIT impeller. In order to control this leakage flow, different types of labyrinth seals are numerically studied in this paper based on a supercritical carbon dioxide (S-CO2) RIT. The effects of seal clearance and cavity outlet pressure are first analyzed, and the impacts of seal design parameters, including height, number and shape of seal teeth, are evaluated. Results indicate that adding labyrinth seal can improve cavity pressure and hence adequately inhibits leakage flow. Decreasing the seal clearance and increasing the height of seal teeth are beneficial to improve sealing performance, and the same effect can be obtained by increasing the number of seal teeth. Meanwhile, employing seals can reduce leakage loss and improve RIT efficiency under a specific range of cavity outlet pressure. Finally, the influences of seal types on the flow field in seal cavity are numerically analyzed, and results demonstrate that isosceles trapezoidal type of seal cavity has better sealing performance than triangular, rectangular and right-angled trapezoidal seal cavities.
Keywords
Supercritical carbon dioxide; radial inflow turbine; impeller backface cavity; labyrinth seal; CFD simulation
Cite This Article
Yang, J., Zhao, F., Zhang, M., Liu, Y., Wang, X. (2021). Numerical Analysis of Labyrinth Seal Performance for the Impeller Backface Cavity of a Supercritical CO2 Radial Inflow Turbine. CMES-Computer Modeling in Engineering & Sciences, 126(3), 935–953.
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