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The influence and a direct judgement method of the flow state in supercritical CO2 dry gas seal

The supercritical carbon dioxide (SCO 2 ) Brayton cycle system is an energy conversion system with great potential, and its efficiency can be improved significantly by using low-leakage dry gas seals in SCO 2 compressors and gas turbines. However, the high-pressure and high-speed conditions of a SCO...

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Published in:Journal of the Brazilian Society of Mechanical Sciences and Engineering 2021-11, Vol.43 (11), Article 486
Main Authors: Zhang, Cong, Jiang, Jin-bo, Peng, Xu-dong, Meng, Xiang-kai, Li, Ji-yun
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Language:English
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cited_by cdi_FETCH-LOGICAL-c319t-ba90d21b665280c3e88b23c9b612554dca49509ebcebec50519a5662d720ce9e3
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container_issue 11
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container_title Journal of the Brazilian Society of Mechanical Sciences and Engineering
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creator Zhang, Cong
Jiang, Jin-bo
Peng, Xu-dong
Meng, Xiang-kai
Li, Ji-yun
description The supercritical carbon dioxide (SCO 2 ) Brayton cycle system is an energy conversion system with great potential, and its efficiency can be improved significantly by using low-leakage dry gas seals in SCO 2 compressors and gas turbines. However, the high-pressure and high-speed conditions of a SCO 2 dry gas seal make the impact of turbulence not negligible. In this paper, the influences of flow state on flow field distribution and sealing performance of a SCO 2 dry gas seal are studied, the criteria for determining the overall flow state into the sealing gap are proposed. Explicit expressions of the flow factor for flow state determination are obtained based on the artificial neural network algorithm. The results show that turbulent flow is easy to occur in a SCO 2 dry gas seal, leading to a remarkable error in predicting sealing performance using a laminar flow model. When employing a laminar flow model, there is a large error on opening force in the transition regions between turbulent and transitional flows, and a large error on leakage rate at high inlet pressure and close to the critical temperature compared to those obtained by using a turbulent flow model. In addition, the flow state judgment method proposed in this paper can accurately determine the overall flow state of a SCO 2 dry gas seal under different operating conditions.
doi_str_mv 10.1007/s40430-021-03211-1
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subjects Algorithms
Artificial neural networks
Brayton cycle
Carbon dioxide
Compressors
Critical temperature
Energy conversion
Engineering
Errors
Fluid dynamics
Gas seals
Gas turbines
Inlet pressure
Laminar flow
Leakage
Mechanical Engineering
Performance prediction
Sealing
Technical Paper
Turbulence
Turbulent flow
title The influence and a direct judgement method of the flow state in supercritical CO2 dry gas seal
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