Assessment of turbulence models for the boundary layer transition flow simulation around a hydrofoil

Ye, Changliang; Wang, Fujun; Wang, Chaoyue; Esch, B.P.M. van

doi:10.1016/j.oceaneng.2020.108124

Cited by 16 publications

(8 citation statements)

References 41 publications

(51 reference statements)

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“…ANSYS CFX are used for numerical simulations of the flow fields, and the classical SST k-ω turbulence model with the γ -Re θ t transition model is employed. There are many novel CFD models for the foils (Ghalandari et al, 2019;Salih et al, 2019), but this classical modelling scheme is popular for turbulent flow computations in hydro-energy machinery, and its reliability has been demonstrated in the previous studies of the authors (Ye et al, 2020;Zeng et al, 2019).…”

Section: Vandv Of Numerical Simulation Schemementioning

confidence: 99%

Rigid vorticity transport equation and its application to vortical structure evolution analysis in hydro-energy machinery

Wang

Zeng

Yao

et al. 2021

Engineering Applications of Computational Fluid Mechanics

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Vortex is the dominant flow structure in hydro-energy machinery, and its swirling features are mainly determined by the rigid rotation part of vorticity. In this study, the rigid vorticity transport equation is proposed based on the vorticity decomposition. The vortex spatial evolution is described by the stretching term RST, the dilatation term RDT, the Lamb term RCT and the viscous term RVT. The shape change of a vortex tube is mainly affected by RST and RDT, while vortex production and dissipation are mainly reflected by RCT and RVT. Compared with the traditional vorticity transport equation, this new theoretical tool can distinguish between rigid rotation and shearing motion of local fluids, and it can better reveal the intuitive evolution characteristics of vortical structures. Two cases with clear engineering demands are analysed by using the transport equation, and the results show that it can provide a practical method for the analysis and control of vortical flows in hydro-energy machinery.

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Section: Vandv Of Numerical Simulation Schemementioning

confidence: 99%

Rigid vorticity transport equation and its application to vortical structure evolution analysis in hydro-energy machinery

Wang

Zeng

Yao

et al. 2021

Engineering Applications of Computational Fluid Mechanics

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“…Theoretically, DNS is the most accurate approach that directly solves the N-S equation, and in [10], the laminar separation bubble on the NACA66 hydrofoil with Reynolds number of 45,000 and angle of attack (AoA) = 4 • was predicted. Well resolved Large Eddy Simulation (LES) can be used to predict laminar separation as well and reported in several studies, including [15], in which LES predicted laminar separation was compared with several different approaches. However, DNS and resolved LES are too computationally expensive for most engineering approaches, especially where the focus is on cases with Reynolds numbers around 1 × 10 6 and complex geometries.…”

Section: Introductionmentioning

confidence: 99%

“…The transition sensitive turbulence model seems to be capable in predicting natural transition, bypass transition and separation induced transition in the framework of a RANS turbulence model. Especially, the prediction of separation induced transition is claimed to be a 'major advantage' of the model [18], and the locations of laminar separation are well predicted compared with advanced approaches [15]. The fundamental correlation of the transition model is the linking of scaled ratio of vorticity Reynolds number, Re v = ρy 2 µ S, and momentum thickness Reynolds number, Re θ , with the boundary layer shape factor H, as max(Re y ) 2.193Re θ ∼ H. Separation induced transition is triggered by the parameter γ sep , which is calculated similarly as max(Re y )…”

Section: Introductionmentioning

confidence: 99%

Improved Prediction of Sheet Cavitation Inception Using Bridged Transition Sensitive Turbulence Model and Cavitation Model

Svennberg

Bensow

2021

JMSE

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Sheet cavitation inception can be influenced by laminar boundary layer flow separation under Reynolds numbers regimes with transitional flow. The lack of accurate prediction of laminar separation may lead to massive over-prediction of sheet cavitation under certain circumstances, including model scale hydrofoils and marine propellers operating at relatively low Reynolds number. For non-cavitating flows, the local correlation based transition model, γ−Reθ transition model, has been found to provide predictions of laminar separation and resulting boundary layer transition. In the present study, the predicted laminar separation using γ−Reθ transition model is bridged with a cavitation mass transfer model to improve sheet cavitation predictions on hydrofoils and model scale marine propellers. The bridged model is developed and applied to study laminar separation and sheet cavitation predictions on the NACA16012 hydrofoil under different Reynolds numbers and angles of attack. As a reference case, the open case of the PPTC VP1304 model scale marine propeller tested on an inclined shaft is studied. Lastly as an application case, the predictions of cavitation on a commercial marine propeller from Kongsberg is presented for model scale conditions. Simulations using the bridged model and the standard unbridged approach with k−ωSST turbulence model are performed using the open-source package OpenFOAM, both using the Schnerr–Sauer cavitation mass transfer model, and the respective results are compared with available experimental results. The predictions using the bridged model agree well compared to experimental measurements and show significant improvements compared to the unbridged approach.

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“…However, the model cannot be used to simulate the laminar-to-turbulent transition of a boundary layer based on the local variables of the flow field. Thus, it has obvious limitations in the prediction of the hydrofoil boundary layer transition [4] . For the prediction of the transition, Menter et al [5] proposed the shear stress transfer (SST)t Re   transition model based on the local variables by introducing the transport equations for the intermittency factor  and the momentum thickness Reynolds number Re  and setting a critical value t Re  at the transition.…”

Section: Introduction mentioning

confidence: 99%

“…With the transition model shear stress transfer curvature correction (SSTCC)t Re   , the curvature correction influences the prediction in the near-wall region and the wake region of the NACA0009 hydrofoil as compared with the SST t Re   model. However, the flow fields calculated by different correction coefficients are quite different and it is difficult to balance the accuracy of the wake and boundary layer predictions [4] . Therefore, it is desirable to develop a new empirical correlation function based on the original SSTt Re   model for simulating the flows along a curved hydrofoil.…”

Section: Introduction mentioning

confidence: 99%

Improvement of the SST γ-Reθt transition model for flows along a curved hydrofoil

Wang

et al. 2021

J Hydrodyn

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Assessment of turbulence models for the boundary layer transition flow simulation around a hydrofoil

Cited by 16 publications

References 41 publications

Rigid vorticity transport equation and its application to vortical structure evolution analysis in hydro-energy machinery

Rigid vorticity transport equation and its application to vortical structure evolution analysis in hydro-energy machinery

Improved Prediction of Sheet Cavitation Inception Using Bridged Transition Sensitive Turbulence Model and Cavitation Model

Improvement of the SST γ-Reθt transition model for flows along a curved hydrofoil

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