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Relevant bibliographies by topics / K-omega turbulence model

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Academic literature on the topic 'K-omega turbulence model'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "K-omega turbulence model"

1

Adanta, Dendy, I. M. Rizwanul Fattah, and Nura Musa Muhammad. "COMPARISON OF STANDARD k-epsilon AND SST k-omega TURBULENCE MODEL FOR BREASTSHOT WATERWHEEL SIMULATION." Journal of Mechanical Science and Engineering 7, no. 2 (October 9, 2020): 039–44. http://dx.doi.org/10.36706/jmse.v7i2.44.

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Currently, Computational Fluid Dynamics (CFD) was utilized to predict the performance, geometry optimization or physical phenomena of a breastshot waterwheel. The CFD method requires the turbulent model to predict the turbulent flow. However, until now there is special attention on the effective turbulent model used in the analysis of breastshot waterwheel. This study is to identify the suitable turbulence model for a breatshot waterwheel. The two turbulence models investigated are: standard k-epsilon model and shear stress transport (SST) k-omega. Pressure based and one degrees of freedom (one-DoF) feature was used in this case with 75 Nm, 150 Nm, 225 Nm and 300 Nm as preloads. Based on the results, the standard k-epsilon model gave similar result with the SST k-omega model. Therefore, the simulation for breastshot waterwheel will be efficient if using the standard k-epsilon model because it requires lower computational power than the SST k-omega model. However, to study about physical phenomenon, the SST k-omega model is recommend.

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Azorakos, Georgios, Bjarke Eltard Larsen, and David R. Fuhrman. "NEW METHODS FOR STABILIZING RANS TURBULENCE MODELS WITH APPLICATION TO LARGE SCALE BREAKING WAVES." Coastal Engineering Proceedings, no. 36v (December 28, 2020): 19. http://dx.doi.org/10.9753/icce.v36v.waves.19.

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Recently, Larsen and Fuhrman (2018) have shown that seemingly all commonly used (both k-omega and k-epsilon variants) two-equation RANS turbulence closure models are unconditionally unstable in the potential flow beneath surface waves, helping to explain the wide-spread over-production of turbulent kinetic energy in CFD simulations, relative to measurements. They devised and tested a new formally stabilized formulation of the widely used k-omega turbulence model, making use of a modified eddy viscosity. In the present work, three new formally-stable k-omega turbulence model formulations are derived and tested in CFD simulations involving the flow and dynamics beneath large-scale plunging breaking waves.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/T2fFRgq3I8E

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Choi, Sung-Woong, Hyoung-Seock Seo, and Han-Sang Kim. "Analysis of Flow Characteristics and Effects of Turbulence Models for the Butterfly Valve." Applied Sciences 11, no. 14 (July 8, 2021): 6319. http://dx.doi.org/10.3390/app11146319.

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In the present study, the flow characteristics of butterfly valves with different sizes DN 80 (nominal diameter: 76.2 mm), DN 262 (nominal diameter: 254 mm), DN 400 (nominal diameter: 406 mm) were numerically investigated under different valve opening percentages. Representative two-equation turbulence models of two-equation k-epsilon model of Launder and Sharma, two-equation k-omega model of Wilcox, and two-equation k-omega SST model of Menter were selected. Flow characteristics of butterfly valves were examined to determine turbulence model effects. It was determined that increasing turbulence effect could cause many discrepancies between turbulence models, especially in areas with large pressure drop and velocity increase. In addition, sensitivity analysis of flow properties was conducted to determine the effect of constants used in each turbulence model. It was observed that the most sensitive flow properties were turbulence dissipation rate (Epsilon) for the k-epsilon turbulence model and turbulence specific dissipation rate (Omega) for the k-omega turbulence model.

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4

Canbolat, Gökhan, Alperen Yıldızeli, Haluk Anıl Köse, and Sertaç Çadırcı. "Numerical Investigation of Transitional Flow over a Flat Plate under Constant Heat Fluxes." Academic Perspective Procedia 1, no. 1 (November 9, 2018): 187–95. http://dx.doi.org/10.33793/acperpro.01.01.39.

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In this study, a boundary layer flow over a flat plate is investigated numerically at constant inlet freestream velocity and turbulence intensity. After intensive mesh refinements, an adequate computational domain is determined. Four turbulence models (k-epsilon, k-omega, k-omega SST, Transition SST) are used to analyze the boundary layer flow. Local surface friction coefficient distribution is obtained and compared to each other to assess the most convenient turbulence model. The Computational Fluid Dynamics (CFD) results show that the Transition SST turbulence model demonstrates the most realistic surface friction coefficient (Cf) distribution in agreement with the experimental data. Additionally; the effects of constant heat fluxes on Cf values are investigated and it is found that the heating process moves transition backward compared to isothermal case. Moreover, it is fount that Cf values in the turbulent region decrease compared to isothermal case.

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Zalesny, V. B., and S. N. Moshonkin. "Sensitivity of the ocean circulation model to the k–omega vertical turbulence parametrization." Известия Российской академии наук. Физика атмосферы и океана 55, no. 5 (November 25, 2019): 103–13. http://dx.doi.org/10.31857/s0002-3515555103-113.

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Ocean general circulation model (OGCM) of the INM RAS with embedded k turbulent model is developed. The solution of the k model equations depends on the frequencies of buoyancy and velocity shift which are generated by the OGCM. The coefficients of vertical turbulence in OGCM depend on k and omega. The numerical algorithms of both models are based on the splitting method for physical processes. The model equations are split into two stages, describing the three-dimensional transport-diffusion of the kinetic energy of turbulence and frequency and their local generation-dissipation. The system of ordinary differential equations arising at the second stage is solved analytically, which ensures the efficiency of the algorithm. Analytical solution also written for the vertical turbulence coefficient equation. The model is used to study the sensitivity of the model circulation of the North AtlanticArctic Ocean to variations in the parameters of vertical turbulence. Experiments show that varying the coefficients of the analytical model solution can improve the adequacy of the simulation.

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6

Menter, F. R. "Influence of freestream values on k-omega turbulence model predictions." AIAA Journal 30, no. 6 (June 1992): 1657–59. http://dx.doi.org/10.2514/3.11115.

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7

Ramadhan Al-Obaidi, Ahmed. "Effects of Different Turbulence Models on Three-Dimensional Unsteady Cavitating Flows in the Centrifugal Pump and Performance Prediction." International Journal of Nonlinear Sciences and Numerical Simulation 20, no. 3-4 (May 26, 2019): 487–509. http://dx.doi.org/10.1515/ijnsns-2018-0336.

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AbstractIn centrifugal pumps, it is important to select appropriate turbulence model for the numerical simulation in order to obtain reliable and accurate results. In this work, ten turbulence models in 3-D transient simulation for the centrifugal pump are chosen and compared. The pump performance is validated with experimental results. The numerical results reveal that the SST turbulence model was closer to the experimental results in predicting head. In addition, the pressure variation trend for the ten models is very similar which increases and then decreases from the inlet to outlet of the pump along the streamline. The SST k-ω model predicts the performance of the pump was more accurately than other turbulent models. Furthermore, the results also found that the error is the least at design operation condition 300(l/min), which is around 1.98 % for the SST model and 2.14 % and 2.38 % for the LES and transition omega model. Within 7.61 %, the errors at higher flow rate 350(l/min) for SST. The error for SST model is smaller as compared to different turbulent models. For the Realizable k-ɛ model, the errors fluctuate were more high than other models.

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Thivet, F., M. Daouk, and D. Knight. "Influence of the wall condition on k-omega turbulence model predictions." AIAA Journal 40 (January 2002): 179–81. http://dx.doi.org/10.2514/3.15014.

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Moshonkin, Sergey, Vladimir Zalesny, and Anatoly Gusev. "Simulation of the Arctic—North Atlantic Ocean Circulation with a Two-Equation K-Omega Turbulence Parameterization." Journal of Marine Science and Engineering 6, no. 3 (August 18, 2018): 95. http://dx.doi.org/10.3390/jmse6030095.

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The results of large-scale ocean dynamics simulation taking into account the parameterization of vertical turbulent exchange are considered. Numerical experiments were carried out using k − ω turbulence model embedded to the Institute of Numerical Mathematics Ocean general circulation Model (INMOM). Both the circulation and turbulence models are solved using the splitting method with respect to physical processes. We split k − ω equations into the two stages describing transport-diffusion and generation-dissipation processes. At the generation-dissipation stage, the equation for ω does not depend on k. It allows us to solve both turbulence equations analytically that ensure high computational efficiency. The coupled model is used to simulate the hydrophysical fields of the North Atlantic and Arctic Oceans for 1948–2009. The model has a horizontal resolution of 0.25 ∘ and 40 σ -levels along the vertical. The numerical results show the model’s satisfactory performance in simulating large-scale ocean circulation and upper layer dynamics. The sensitivity of the solution to the change in the coefficients entering into the analytical solution of the k − ω model which describe the influence of some physical factors is studied. These factors are the climatic annual mean buoyancy frequency (AMBF) and Prandtl number as a function of the Richardson number. The experiments demonstrate that taking into account the AMBF improves the reproduction of large-scale ocean characteristics. Prandtl number variations improve the upper mixed layer depth simulation.

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Kok, Johan C. "Resolving the dependence on freestream values for the k-omega turbulence model." AIAA Journal 38 (January 2000): 1292–95. http://dx.doi.org/10.2514/3.14547.

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Dissertations / Theses on the topic "K-omega turbulence model"

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Kudla, Thomas Lucas. "Implementation and Validation of a Modified Non-Equilibrium Wilcox K Omega Turbulence Model in Subsonic and Transonic Flow Regimes." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1373481080.

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Genc, Balkan Ziya. "Implementation And Comparison Of Turbulence Models On A Flat Plate Problem Using A Navier-stokes Solver." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1096668/index.pdf.

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For turbulent flow calculations, some of the well-known turbulence models in the literature are applied on a previously developed Navier-Stokes solver designed to handle laminar flows. A finite volume formulation, which is cell-based for inviscid terms and cell-vertex for viscous terms, is used for numerical discretization of the Navier-Stokes equations in conservative form. This formulation is combined with one-step, explicit time marching Lax-Wendroff numerical scheme that is second order accurate in space. To minimize non-physical oscillations resulting from the numerical scheme, second and fourth order artificial smoothing terms are added. To increase the convergence rate of the solver, local time stepping technique is applied. Before applying turbulence models, Navier-Stokes solver is tested for a case of subsonic, laminar flow over a flat plate. The results are in close agreement with Blasius similarity solutions. To calculate turbulent flows, Boussinesq eddy-viscosity approach is utilized. The eddy viscosity (also called turbulent viscosity), which arises as a consequence of this approach, is calculated using Cebeci-Smith, Michel et. al., Baldwin-Lomax, Chien&rsquo
s k-epsilon and Wilcox&rsquo
s k-omega turbulence models. To evaluate the performances of these turbulence models and to compare them with each other, the solver has been tested for a case of subsonic, laminar - transition fixed - turbulent flow over a flat plate. The results are verified by analytical solutions and empirical correlations.

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Pokhrel, Sajjan. "Computational Modeling of A Williams Cross Flow Turbine." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1515428122798392.

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Books on the topic "K-omega turbulence model"

1

Rigby, David L. Prediction of heat and mass transfer in a rotating ribbed coolant passage with a 180 degree turn. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1999.

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2

United States. National Aeronautics and Space Administration., ed. A k-[omega] turbulence model for quasi-three-dimensional turbomacinery flows. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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United States. National Aeronautics and Space Administration., ed. A k-[omega] turbulence model for quasi-three-dimensional turbomacinery flows. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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United States. National Aeronautics and Space Administration., ed. A k-[omega] turbulence model for quasi-three-dimensional turbomacinery flows. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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United States. National Aeronautics and Space Administration., ed. A k-[omega] turbulence model for quasi-three-dimensional turbomacinery flows. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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6

1925-, Georgiadis Nicholas, Orkwis Paul D, and United States. National Aeronautics and Space Administration., eds. Implementation of a two-equation K-[omega] turbulence model in NPARC. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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7

1925-, Georgiadis Nicholas, Orkwis Paul D, and United States. National Aeronautics and Space Administration., eds. Implementation of a two-equation K-[omega] turbulence model in NPARC. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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8

1925-, Georgiadis Nicholas, Orkwis Paul D, and United States. National Aeronautics and Space Administration., eds. Implementation of a two-equation K-[omega] turbulence model in NPARC. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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9

Implementation of a two-equation K-[omega] turbulence model in NPARC. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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Implementation of a two-equation K-[omega] turbulence model in NPARC. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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Book chapters on the topic "K-omega turbulence model"

1

Könözsy, László. "The Anisotropic Hybrid k-$$\omega $$ SST/Stochastic Turbulence Model." In A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows, 115–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60603-9_2.

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2

Könözsy, László. "The k- $$\omega $$ ω Shear-Stress Transport (SST) Turbulence Model." In A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows, 57–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13543-0_3.

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3

Liu, Tong, Jinsheng Cai, and Kun Qu. "Ice Accretion Simulation Based on Roughness Extension of Shear Stress Transport $$ \varvec{k} -\varvec{\omega} $$ Turbulence Model." In Lecture Notes in Electrical Engineering, 566–78. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3305-7_46.

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4

Könözsy, László. "Implementation of the Anisotropic Hybrid k-$$\omega$$ SST/STM Closure Model." In A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows, 141–214. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60603-9_3.

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5

Alkan, Ahmet Dursun, Onur Usta, Alpay Acar, and Elis Atasayan. "Investigation of Environmental Effects of High Speed Boats." In Progress in Marine Science and Technology. IOS Press, 2020. http://dx.doi.org/10.3233/pmst200021.

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Luxury high-speed boats are increasingly being used for entertainment purposes. However, not only humans, but also animals are negatively affected by high-speed boats, and time is running out fast for people to do something about it. This study presents a review of current negative effects of high-speed boats to the environment. In this study, the flow around a benchmark planing Fridsma boat is simulated by CFD and resistance values for different non-dimensional Froude number (Fn) conditions are validated from the experimental results obtained from the literature. Using the same CFD methodology, a catamaran model in which the towing tank test results are available, is simulated for different Fn conditions and resistance values are predicted. In the CFD analysis, unsteady flow around the Fridsma hull model and catamaran model is simulated using overset meshing technique and turbulence is modeled by Reynolds Averaged Navier Stokes (RANS) with SST (Menter) k-omega turbulence model. Resistance values are compared with the experimental data and required propulsion powers are estimated for different Fn conditions. Then, total resistance of the catamaran for full-scale vessel is calculated using an extrapolation method and required propulsion power predictions are conducted. Noise prediction, corresponding to the required propulsion power are presented. In particular, the change of noise level and harmful gases released into the environment, when the speed of the vessel increases are examined and discussed. Consequently, it is believed that this study would lay an important foundation for the widespread investigation for the negative effects of the high-speed boats in the future.

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Conference papers on the topic "K-omega turbulence model"

1

Wilcox, David. "Formulation of the k-omega Turbulence Model Revisited." In 45th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-1408.

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Hellsten, Antti. "Some improvements in Menter's k-omega SST turbulence model." In 29th AIAA, Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-2554.

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3

DeChant, Lawrence. "Modification to the k-Omega Turbulence Model for Vortically Dominated Flows." In 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-56.

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4

Chima, R. "A k-omega turbulence model for quasi-three-dimensional turbomachinery flows." In 34th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-248.

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5

Yoder, Dennis, Nicholas Georgiadis, and Paul Orkwis. "Implementation of a two-equation k-omega turbulence model in NPARC." In 34th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-383.

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Dhakal, Tej Prasad, and D. Keith Walters. "Curvature and Rotation Sensitive Variants of the K-Omega SST Turbulence Model." In ASME 2009 Fluids Engineering Division Summer Meeting. ASMEDC, 2009. http://dx.doi.org/10.1115/fedsm2009-78397.

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The two-equation, eddy-viscosity class of models remains the primary means of turbulence closure for most CFD applications, however these models typically are not sensitized correctly to streamline curvature or system rotation. This paper presents the development and testing of new versions of the k-omega SST turbulence model that are intended to exhibit a physically accurate response to curvature and rotation. Model development is based on a rigorous simplification of the differential Reynolds Stress Model under conditions of weak equilibrium. The new turbulence model is implemented in a commercial CFD solver and tested on several problems, including fully-developed, rotating channel flow and flow development in a U-bend. The new model performs superior to existing k-omega model forms for these cases, especially when rapid rotation or strong streamline curvature exists.

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Dhakal, Tej Prasad, and D. Keith Walters. "A Three Equation Curvature and Rotation Sensitive Variant of the SST K-Omega Turbulence Model." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-30810.

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To date, eddy viscosity models are the most accepted and widely used RANS-based turbulence closures, attributable to their computational efficiency and relative robustness. One notable shortcoming of these models is their insensitivity to system rotation and streamline curvature. In this article, we present a variation of the SST k-ω model properly sensitized to system rotation and streamline curvature. The new model is based on a direct simplification of the Reynolds Stress Model under weak equilibrium conditions. To enhance stability and include history effects, an additional transport equation for a transverse turbulent velocity scale is added to the model. The new transport equation incorporates the physical effect of curvature and rotation on the turbulence structure. The eddy viscosity is then redefined based on the new turbulent velocity scale. The model is calibrated based on rotating homogeneous shear flow and implemented for a number of test cases including rotating channel, U-duct, and hump model flow. Compared to popular two equation models, the new model shows improved performance in system rotation and/or streamline curvature dominated flows.

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Hellsten, Antti, Seppo Laine, Antti Hellsten, and Seppo Laine. "Extension of the k-omega-SST turbulence model for flows over rough surfaces." In 22nd Atmospheric Flight Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-3577.

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Kwak, Einkeun, Sang-il Park, Namhun Lee, and Seungsoo Lee. "Aerodynamic Performance Evaluation of 3D Aircraft Configurations by Turbulence Models." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-15014.

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Numerical simulations of 3D aircraft configurations are performed in order to understand the effects that turbulence models have on the aerodynamic characteristics of an aircraft. An in-house CFD code that solves 3D RANS equations and 2-equation turbulence model equations is used for the study. The code applies Roe’s approximated Riemann solver and an AF-ADI scheme. Furthermore van Leer’s MUSCL extrapolation with van Albada’s limiter is adopted. Various versions of Menter’s k-omega SST turbulence models as well as Coakley’s q-omega model are incorporated into the CFD code. Menter’s k-omega SST models include the standard model, the 2003 model, the model incorporating the vorticity source term, and the model containing controlled decay. Turbulent flows over a wing are simulated in order to validate the turbulence models contained in the CFD code. The results from these simulations are then compared to computational results of the 3rd AIAA CFD Drag Prediction Workshop. Moreover, numerical simulations of the DLR-F6 wing-body and wing-body-nacelle-pylon configurations are conducted and compared to computational results of the 2nd AIAA CFD Drag Prediction Workshop. Especially, the aerodynamic characteristics as well as flow features with respect to the turbulence models are scrutinized. The results obtained from each simulation incorporating Menter’s k-omega SST turbulence model variations are compared with one another.

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Steinthorsson, Erlendur, Ali Ameri, D. Rigby, Erlendur Steinthorsson, Ali Ameri, and D. Rigby. "Simulations of heat transfer in complex internal flows using a k-omega turbulence model." In 35th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-506.

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