CHENG Xiyi, LI Hongmei, HAN Dan, et al. Study on the Applicability of Turbulence Model to Transient Evolution Characteristics of Cloud Cavitation in Nozzle[J]. Journal of Xi'an Jiaotong University, 2025, 59(10): 160-169.
DOI:
CHENG Xiyi, LI Hongmei, HAN Dan, et al. Study on the Applicability of Turbulence Model to Transient Evolution Characteristics of Cloud Cavitation in Nozzle[J]. Journal of Xi'an Jiaotong University, 2025, 59(10): 160-169.DOI: 10.7652/xjtuxb202510015.
Study on the Applicability of Turbulence Model to Transient Evolution Characteristics of Cloud Cavitation in Nozzle
To evaluate the resolution capability and applicability of different turbulence models in analyzing the transient evolution characteristics of cloud cavitation in nozzles
this study employs numerical simulations combined with a cavitation multiphase flow model to compare the performance of the shear stress transport (SST)
k-ω
Reynolds-averaged Navier-Stok
es (RANS) model
large eddy simulation (LES)
delayed detached-eddy simulation (DDES)
and very large eddy simulation (VLES).The results show that the SST
k-ω
model offers high computational efficiency but fails to accurately capture transient behaviors such as cloud cavitation shedding and collapse due to its time-averaged treatment. In contrast
the LES model precisely resolves small-scale vortex structures and transient pressure fluctuations
reproducing the full-cycle evolution of cloud cavitation
with simulation results closely matching visual experimental data. However
its computational cost exceeds that of the SST
k-ω
model by more than four times. DDES
due to the employment of RANS in near-wall and low-vorticity regions
exhibits limited accuracy in predicting shedding processes
re-entrant jets and high-frequency pressure responses. VLES
based on a scale-adaptive dynamic hybridRANS-LESapproach
significantly reduces computational costs
approximately 30% less than LES
while maintaining high resolution of shedding details. Furthermore
Fourier transform analysis based on pressure fluctuations reveals that VLES predicts the dominant shedding frequency of cloud cavitation with less than 5% deviation from experimental data
validating its accuracy and efficiency in cloud cavitation modeling and demonstrating its potential for engineering applications.
ZHANG Wenquan , WANG Qian , HE Zhixia , et al . Experiment on characteristics of cavitation and erosion in diesel engine nozzle orifice [J ] . Chinese Internal Combustion Engine Engineering , 2018 , 39 ( 5 ): 14 - 20 .
GE Mingming , PETKOVŠEK M , ZHANG Guangjian , et al . Cavitation dynamics and thermodynamic effects at elevated temperatures in a small Venturi channel [J ] . International Journal of Heat and Mass Transfer , 2021 , 170 : 120970 .
DESANTES J M , PAYRI R , SALVADOR F J , et al . Influence of cavitation phenomenon on primary break up and spray behavior at stationary conditions [J ] . Fuel , 2010 , 89 ( 10 ): 3033 - 3041 .
LONG Yun , AN Ce , ZHU Rongsheng , et al . Research on hydrodynamics of high velocity regions in a water-jet pump based on experimental and numerical calculations at different cavitation conditions [J ] . Physics of Fluids , 2021 , 33 ( 4 ): 045124 .
ZHAO Xiaoyang , LIU Taotao , HUANG Biao , et al . Combined experimental and numerical analysis of cavitating flow characteristics in an axial flow waterjet pump [J ] . Ocean Engineering , 2020 , 209 : 107450 .
MILTNER M , JORDAN C , HARASEK M . CFD simulation of straight and slightly swirling turbulent free jets using different RANS-turbulence models [J ] . Applied Thermal Engineering , 2015 , 89 : 1117 - 1126 .
CHEBLI R , AUDEBERT B , ZHANG G , et al . Influence of the turbulence modeling on the simulation of unsteady cavitating flows [J ] . Computers & Fluids , 2021 , 221 : 104898 .
DONG Wenqiang , YAO Ligang , LUO Weilin . Numerical simulation of flow field of submerged angular cavitation nozzle [J ] . Applied Sciences , 2023 , 13 ( 1 ): 613 .
RAN Zilin , MA Wenxing , LIU Chunbao . 3D cavitation shedding dynamics:cavitation flow-fluid vortex formation interaction in a hydrodynamic torque converter [J ] . Applied Sciences , 2021 , 11 ( 6 ): 2798 .
ZHANG Desheng , WANG Haiyu , SHI Weidong , et al . Numerical analysis of the unsteady behavior of cloud cavitation around a hydrofoil based on an improved filter-based model [J ] . Journal of Hydrodynamics , 2015 , 27 ( 5 ): 795 - 808 .
YANG Yongfei , WANG Gaowei , SHI Weidong , et al . Turbulence characteristics in the mixing layer of a submerged cavitating jet at high Reynolds numbers [J ] . Sustainability , 2022 , 14 ( 19 ): 11963 .
DAI Xiaoyu , WANG Ziman , LIU Fushui , et al . Simulation of throttling effect on cavitation for nozzle internal flow [J ] . Fuel , 2019 , 243 : 277 - 287 .
YAN Chenyi , CHEN Ying . Numerical investigation on the water-entry cavity feature and flow structure of a spinning sphere based on large-eddy simulation [J ] . Chinese Journal of Theoretical and Applied Mechanics , 2022 , 54 ( 4 ): 1012 - 1025 .
CHENG Huaiyu , JI Bin , LONG Xinping , et al . LES investigation on the influence of cavitation on the evolution and characteristics of tip leakage vortex [J ] . Chinese Journal of Theoretical and Applied Mechanics , 2021 , 53 ( 5 ): 1268 - 1287 .
YANG Yongfei , SHI Weidong , TAN Linwei , et al . Numerical research of the submerged high-pressure cavitation water jet based on theRANS-LEShybrid model [J ] . Shock and Vibration , 2021 , 2021 ( 1 ): 6616718 .
SHEN Xi , ZHANG Desheng , XU Bin , et al . Experimental and numerical investigation on the effect of tip leakage vortex induced cavitating flow on pressure fluctuation in an axial flow pump [J ] . Renewable Energy , 2021 , 163 : 1195 - 1209 .
XIA Zhaoyang , HAN Xingsi , MAO Junkui . Assessment and validation of very-large-eddy simulation turbulence modeling for strongly swirling turbulent flow [J ] . AIAA Journal , 2020 , 58 ( 1 ): 148 - 163 .
HE Zhixia , GUAN Wei , WANG Chuqiao , et al . Assessment of turbulence and cavitation models in prediction of vortex induced cavitating flow in fuel injector nozzles [J ] . International Journal of Multiphase Flow , 2022 , 157 : 104251 .
HE Zhixia , CHEN Yuhang , LENG Xianyin , et al . Experimental visualization and LES investigations on cloud cavitation shedding in a rectangular nozzle orifice [J ] . International Communications in Heat and Mass Transfer , 2016 , 76 : 108 - 116 .
ABE K I , OHTSUKA T . An investigation of LES and hybridLES/RANSmodels for predicting 3-D diffuser flow [J ] . International Journal of Heat and Fluid Flow , 2010 , 31 ( 5 ): 833 - 844 .
HAN Xingsi , KRAJNOVIC S . Very-large-eddy simulation based on k-ω model [J ] . AIAA Journal , 2015 , 53 ( 4 ): 1103 - 1108 .
HAN Xingsi , KRAJNOVIC S . Very large eddy simulation of passive drag control for a D-shaped cylinder [J ] . Journal of Fluids Engineering , 2013 , 135 ( 10 ): 101102 .
HAN Xingsi , KRAJNOVIC S . An efficient very large eddy simulation model for simulation of turbulent flow [J ] . International Journal for Numerical Methods in Fluids , 2013 , 71 ( 11 ): 1341 - 1360 .
TIWARI P , XIA Zhaoyang , HAN Xingsi . Comparison of VLES and LES turbulence modeling for swirling turbulent Flow [J ] . Journal of Applied Fluid Mechanics , 2020 , 13 ( 4 ): 1107 - 1116 .
XIA Zhaoyang , CHENG Zhongyu , HAN Xingsi , et al . VLES turbulence modelling for separated flow simulation with OpenFOAM [J ] . Journal of Wind Engineering and Industrial Aerodynamics , 2020 , 198 : 104077 .
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