Large eddy simulation of cavitating flows with dynamic adaptive mesh refinement using OpenFOAM

Li, Lin-min; Hu, Dai-qing; Liu, Yucheng; Wang, Bi-tao; Shi, Chen; Jin, Shi; Xu, Chang

doi:10.1007/s42241-019-0041-1

Cited by 32 publications

(14 citation statements)

References 23 publications

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“…In this way, boundary nodes are in general the fluid nodes next to the solid nodes, and the solid boundary is located in between. Details of the method treating with the boundary can be found from the study by Chen et al 23 Because the present work especially focuses on the wake characteristics, the AMR method, 47 considered as an efficient way for dynamically allocating fine grids only to the places of concern, is used to improve the simulation precision of blades and wake characteristics. For a clear illustration, the octree structured lattice distribution around the wind turbine blade and the wake is sketched as seen in Figure 2.…”

Section: Numerical Methodologymentioning

confidence: 99%

Investigation of wake characteristics of the MEXICO wind turbine using lattice Boltzmann method

Shi

et al. 2020

Wind Energy

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This paper investigates the characteristics of turbine wake which is the major factor determining the turbulence in wind farm and overall wind farm performance. Using the lattice Boltzmann method (LBM) and the large eddy simulation (LES) approach, dynamic simulations of detailed fluid flow and wake trajectory induced by the MEXICO wind turbine were carried out. Moreover, with the help of adaptive mesh refinement (AMR) method, the lattice units were allowed to be automatically refined to allocate more grid points on the solid walls and in the wake region. The simulation results were firstly compared with the experimental data for validation of the numerical model, as well as for investigation of the impact of sub‐grid scale (SGS) turbulence models. Within the present modeling framework, the characteristics of transient wake propagation, detailed flow field, and rotor‐tower interaction were investigated, and the effect of tip‐speed ratio was also analyzed. The present work indicates that, with a suitable SGS turbulence model, the LBM‐LES method is an effective way for dynamic simulations of wake structures induced by a wind turbine with a rotating rotor.

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Section: Numerical Methodologymentioning

confidence: 99%

Investigation of wake characteristics of the MEXICO wind turbine using lattice Boltzmann method

Shi

et al. 2020

Wind Energy

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“…The superiority of AMR has been verified in many studies, such as that for bubble dynamics [15], liquid jet atomization [16] and some other gasliquid two-phase systems [17]. The application on cavitating flows also showed that accurate results can be obtained under a relatively low consumption of computing resources [18,19].…”

Section: Introductionmentioning

confidence: 93%

Numerical simulation of cavitating flow around a twist hydrofoil focusing on the erosion behaviour

Wang

et al. 2022

J. Phys.: Conf. Ser.

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The erosion risk in cavitating flow is a challenging issue due to the instantaneity and complexity. In this paper, the energy balance approach (EBA)-based cavitation erosion model is employed to investigate the erosion behavior around a Delft Twist-11 hydrofoil utilizing large eddy simulation (LES) approach. The results show that the predicted erosion region is qualitative agreement with the experimental paint tests. The adaptive mesh refinement (AMR) method is conducted on a coarse mesh to verify its preponderance in save computing resources and ensuring accuracy. It is found that the case using AMR obtains more accurate cavitation features within less computational cells than that of the fine mesh, including the predicted shedding frequency and U-type structure of shedding cloud.

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“…The phase field method for wetting phenomena presented by Cai et al [4] relied on AMR rather than the conventional grid generation approach in order to achieve computational efficiency. Cavitation modeling conducted by Li et al [5] employed AMR to reduce computational requirements of an LES-VOF model. Similarly, Wang et al [6] used AMR in order to assess cavitation around a hydrofoil.…”

Section: Introductionmentioning

confidence: 99%

Computational Efficiency Assessment of Adaptive Mesh Refinement for Turbulent Jets in Crossflow

et al. 2022

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Numerical analyses of environmental discharges are commonly conducted on pre-generated numerical grids with refinements implemented in regions of interest or influence on the flow field. This approach to problem formulation relies on insights into the flow specifics so that appropriate attention is given to relevant segments of the domain. In this paper we investigated the applicability of adaptive mesh refinement (AMR) on a commonly considered environmental problem—a jet in crossflow. The assessment was made using the OpenFOAM toolbox. Several RANS turbulence models and grid generation approaches were compared in terms of accuracy to previous studies and experimental results. Main emphasis is given to the computational efficiency of the methodology with a focus on load distribution. Our findings indicate that the results are acceptable in terms of accuracy with load balancing providing significant computational savings thus enabling AMR methodology to outperform the conventional approach.

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Large eddy simulation of cavitating flows with dynamic adaptive mesh refinement using OpenFOAM

Cited by 32 publications

References 23 publications

Investigation of wake characteristics of the MEXICO wind turbine using lattice Boltzmann method

Investigation of wake characteristics of the MEXICO wind turbine using lattice Boltzmann method

Numerical simulation of cavitating flow around a twist hydrofoil focusing on the erosion behaviour

Computational Efficiency Assessment of Adaptive Mesh Refinement for Turbulent Jets in Crossflow

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