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Cavitation Evolution Around a Twist Hydrofoil by Large Eddy Simulation(LES)with Mesh Adaption

查看全文 作  者:WANG [1]Zhengdong;LI [1]Linmin;LI [1]Xiaojun;YANG [2]Chunye;ZHU [1]Zuchao 高影响力作者 机构地区:[1]Key Laboratory of Fluid Transmission Technology of Zhejiang Province,Zhejiang Sci-Tech University,Hangzhou 310018,China;[2]Ebara Great Pumps Co.,Ltd.,Wenzhou 325200,China高影响力机构 出  处:《Journal of Ocean University of China》索引2023年第22卷第3期,共10页高影响力期刊 基  金:financially supported by the National Natural Science Foundation of China(Nos.U21A20126 and 52006197);the National Science Foundation of Zhejiang Province(Nos.LQ21E060012 and LR20E090001);the Key Research and Development Program of Zhejiang Province(No.2021C05006)。 摘  要:The cavitating flow around a Delft Twist-11 hydrofoil is simulated using the large eddy simulation approach.The volume-of-fluid method incorporated with the Schnerr-Sauer cavitation model is utilized to track the water-vapor interface.Adaptive mesh refinement(AMR)is also applied to improve the simulation accuracy automatically.Two refinement levels are conducted to verify the dominance of AMR in predicting cavitating flows.Results show that cavitation features,including the U-type structure of shedding clouds,are consistent with experimental observations.Even a coarse mesh can precisely capture the phase field without increasing the total cell number significantly using mesh adaption.The predicted shedding frequency agrees fairly well with the experimental data under refinement level 2.This study illustrates that AMR is a promising approach to achieve accurate simulations for multiscale cavitating flows within limited computational costs.Finally,the force element method is currently adopted to investigate the lift and drag fluctuations during the evolution of cavitation structure.The mechanisms of lift and drag fluctuations due to cavitation and the interaction between vorticity forces and cavitation are explicitly revealed. 关 键 词:cavitating flow adaptive mesh refinement volume of fluid vorticity force force element method
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