A comprehensive investigation of hydraulic performance and internal flow characteristics of Francis turbine model at part load cavitating flow for various turbulence models

Francis turbines are used extensively in hydropower facilities because of their great efficiency and versatility in a wider range of operations. In high specific speed turbines, part-load (PL) operations and cavitating conditions introduce highly complex internal flow structures that are challenging to predict accurately while keeping computational costs reasonable. This study offers a detailed comparison of various turbulence models under these demanding conditions and highlights the most effective model that successfully captures the flow intricacies with an optimal balance between accuracy and computational efficiency. Using various turbulence models, including scale adaptive simulation-shear stress transport (SAS-SST), SST, standard [Formula: see text], and standard [Formula: see text], this study examines the internal flow characteristics and performance of a Francis turbine with a specific speed of 276 under PL with cavitation inception point. The investigation shows how well the transient nature of flow inside the high-class turbine under cavitation condition is predicted by different turbulence models. Both steady and unsteady numerical simulations were performed, and the results were verified against experimental data. The SAS-SST model performs better than other models in resolving unsteady flow patterns, forecasting transient phenomena, and capturing instabilities caused by cavitation. In the runner domain, the SAS-SST model showed 58.2% lower eddy viscosity ratios and in the draft tube vortex rope volume is estimated 95.3% greater than [Formula: see text]. The [Formula: see text] model was noticeably worse at capturing transient effects than the other models. The most dependable model for comprehending intricate flow dynamics in PL and cavitation-prone environments is the SAS-SST model.

Authors

Institutions

Publication Details

Journal
Engineering Applications of Computational Fluid Mechanics
Published
2025-08-03
DOI
https://doi.org/10.1080/19942060.2025.2538811
Citations
1
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comprehensive investigation of hydraulic performance and internal flow characteristics of Francis turbine model at part load cavitating flow for various turbulence models

Mohammad Abu Shahzer, Jin‐Hyuk Kim, Duc-Anh Nguyen
1 citations
Engineering Applications of Computational Fluid Mechanics
Cavitation Phenomena in Pumps
0.86
article

A comprehensive investigation of hydraulic performance and internal flow characteristics of Francis turbine model at part load cavitating flow for various turbulence models

Mohammad Abu Shahzer, Jin‐Hyuk Kim, Duc-Anh Nguyen
article en
1 citations

Abstract

Francis turbines are used extensively in hydropower facilities because of their great efficiency and versatility in a wider range of operations. In high specific speed turbines, part-load (PL) operations and cavitating conditions introduce highly complex internal flow structures that are challenging to predict accurately while keeping computational costs reasonable. This study offers a detailed comparison of various turbulence models under these demanding conditions and highlights the most effective model that successfully captures the flow intricacies with an optimal balance between accuracy and computational efficiency. Using various turbulence models, including scale adaptive simulation-shear stress transport (SAS-SST), SST, standard [Formula: see text], and standard [Formula: see text], this study examines the internal flow characteristics and performance of a Francis turbine with a specific speed of 276 under PL with cavitation inception point. The investigation shows how well the transient nature of flow inside the high-class turbine under cavitation condition is predicted by different turbulence models. Both steady and unsteady numerical simulations were performed, and the results were verified against experimental data. The SAS-SST model performs better than other models in resolving unsteady flow patterns, forecasting transient phenomena, and capturing instabilities caused by cavitation. In the runner domain, the SAS-SST model showed 58.2% lower eddy viscosity ratios and in the draft tube vortex rope volume is estimated 95.3% greater than [Formula: see text]. The [Formula: see text] model was noticeably worse at capturing transient effects than the other models. The most dependable model for comprehending intricate flow dynamics in PL and cavitation-prone environments is the SAS-SST model.

Engineering Applications of Computational Fluid MechanicsVol. 19(1)
University of Science and Technology (YE), Chung-Ang University (KR), Korea Institute of Industrial Technology (KR)
Korea Institute of Energy Technology Evaluation and Planning
Affordable and clean energy
Openalex Percentile: Top 27%
Cavitation Phenomena in Pumps
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.