Numerical Study on Predicting the MSADV Flow Coefficient Using Porous Media Model

Numerical analysis was performed on the flow coefficients of MSADV used in nuclear power plants. Since MSADV contains a very large number of small flow paths, the analysis was performed by simulating it as a porous media for computational cost. For each flow path, various mass flow rate conditions were set to derive the correlation between pressure drop and velocity. The resistance coefficients of the porous media were calculated from the derived correlation and used in the analysis. Through the analysis, the flow coefficients were identified in various opening, and the reliability of the porous media simulation method was validated.

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Publication Details

Journal
The KSFM Journal of Fluid Machinery
Published
2026-10-13
DOI
https://doi.org/10.5293/kfma.2026.29.5.049
Primary Topic
Turbomachinery Performance and Optimization
Type
article
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article

Numerical Study on Predicting the MSADV Flow Coefficient Using Porous Media Model

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The KSFM Journal of Fluid Machinery
Turbomachinery Performance and Optimization
article

Numerical Study on Predicting the MSADV Flow Coefficient Using Porous Media Model

Young Woon Jang, Hyun Jee, Wooseok Jeong, Jaemin Choi, Hong Jip Kim
article en

Abstract

Numerical analysis was performed on the flow coefficients of MSADV used in nuclear power plants. Since MSADV contains a very large number of small flow paths, the analysis was performed by simulating it as a porous media for computational cost. For each flow path, various mass flow rate conditions were set to derive the correlation between pressure drop and velocity. The resistance coefficients of the porous media were calculated from the derived correlation and used in the analysis. Through the analysis, the flow coefficients were identified in various opening, and the reliability of the porous media simulation method was validated.

The KSFM Journal of Fluid MachineryVol. 29(5)
Openalex Percentile: Top 18%
Turbomachinery Performance and Optimization
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