Performance Evaluation of Low-Pressure Axial Turbine using CFD-based Throughflow Method

The CFD-based throughflow (TF) method was applied to assess the accuracy of predicting the performance of a low-pressure axial turbine. In comparison to commercial CFD analyses, the CFD-based TF accurately estimated the performance parameters such as the choking mass flow rate, expansion ratio and total-to-total efficiency for an initial axial turbine design within minutes. Evaluation against the performance test results for the final manufactured axial turbine revealed that the CFD-based TF yielded predictions of the mass flow rate, expansion ratio and efficiency with a maximum error of 1.61%. However, limitations of the CFD-based TF were identified in resolving the passage vortex and the tip clearance flow due to its characteristics using only a singe computational cell in the pitchwise direction, leading to a local numerical error increase near 20% and 80% spans particularly influenced by these two flow features. Despite these constraints, the demonstrated accuracy suggests potential for integrating the CFD-based TF into the axial turbine design process for predicting the performance quickly.

Authors

Publication Details

Journal
The KSFM Journal of Fluid Machinery
Published
2026-10-13
DOI
https://doi.org/10.5293/kfma.2026.29.5.022
Primary Topic
Turbomachinery Performance and Optimization
Type
article
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article

Performance Evaluation of Low-Pressure Axial Turbine using CFD-based Throughflow Method

김동화, Minsuk Choi, Dae Hyun Kim
The KSFM Journal of Fluid Machinery
Turbomachinery Performance and Optimization
article

Performance Evaluation of Low-Pressure Axial Turbine using CFD-based Throughflow Method

김동화, Minsuk Choi, Dae Hyun Kim
article en

Abstract

The CFD-based throughflow (TF) method was applied to assess the accuracy of predicting the performance of a low-pressure axial turbine. In comparison to commercial CFD analyses, the CFD-based TF accurately estimated the performance parameters such as the choking mass flow rate, expansion ratio and total-to-total efficiency for an initial axial turbine design within minutes. Evaluation against the performance test results for the final manufactured axial turbine revealed that the CFD-based TF yielded predictions of the mass flow rate, expansion ratio and efficiency with a maximum error of 1.61%. However, limitations of the CFD-based TF were identified in resolving the passage vortex and the tip clearance flow due to its characteristics using only a singe computational cell in the pitchwise direction, leading to a local numerical error increase near 20% and 80% spans particularly influenced by these two flow features. Despite these constraints, the demonstrated accuracy suggests potential for integrating the CFD-based TF into the axial turbine design process for predicting the performance quickly.

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