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Journal articles on the topic 'K-epsilon turbulence model'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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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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2

Relation, H. L., J. L. Battaglioli, and W. F. Ng. "Numerical Simulations of Nonreacting Flows for Industrial Gas Turbine Combustor Geometries." Journal of Engineering for Gas Turbines and Power 120, no. 3 (July 1, 1998): 460–67. http://dx.doi.org/10.1115/1.2818167.

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This study evaluates the application of the computational fluid dynamics (CFD) to calculate the flowfields in industrial combustors. Two-burner test cases, which contain the elemental flow characteristics of an industrial gas turbine combustor, are studied. Comparisons were made between the standard k-epsilon turbulence model and a modified version of the k-epsilon turbulence model. The modification was based on the work of Chen and Kim in which a second time scale was added to the turbulent dissipation equation. Results from the CFD calculations were compared to experimental data. For the two-burner test cases under study, the standard k-epsilon model diffuses the swirl and axial momentum, which results in the inconsistent prediction of the location of the recirculation zone for both burner test cases. However, the modified k-epsilon model shows an improved prediction of the location, shape, and size of the primary centerline recirculation zone for both cases. The large swirl and axial velocity gradients, which are diffused by the standard k-epsilon; model, are preserved by the modified model, and good agreements were obtained between the calculated and measured axial and swirl velocities. The overprediction of turbulent eddy viscosity in regions of high shear, which is characteristic of the standard k-epsilon model, is controlled by the modified turbulence model.

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3

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

Phapatarinan, Satapan, Eakarach Bumrungthaichaichan, and Santi Wattananusorn. "A suitable k-epsilon model for CFD simulation of pump-around jet mixing tank with moderate jet reynolds number." MATEC Web of Conferences 192 (2018): 03010. http://dx.doi.org/10.1051/matecconf/201819203010.

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This paper presents the appropriate turbulence model for predicting the overall mixing time inside an open 45° inclined side entry pump-around jet mixing tank with moderate jet Reynolds number of about 17,515. The model was carefully developed by using appropriate hexahedral grid arrangement and proper numerical methods. The two different k-epsilon turbulence models, including realizable k-epsilon model and low Reynolds number k-epsilon model, were simulated. The overall mixing times predicted by these turbulence models were compared with the previous data reported by Patwardhan (Chem. Eng. Sci. 57 (2002) 1307-1318). The results revealed that the low Reynolds number k-epsilon model was a suitable model for predicting the overall mixing time of jet mixing tank with moderate jet Reynolds number.

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5

WU, ZI-NIU, and SONG FU. "POSITIVITY OF k-EPSILON TURBULENCE MODELS FOR INCOMPRESSIBLE FLOW." Mathematical Models and Methods in Applied Sciences 12, no. 03 (March 2002): 393–406. http://dx.doi.org/10.1142/s0218202502001702.

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The k-epsilon turbulence model for incompressible flow involves two advection–diffusion equations plus point-source terms. We propose a new method for positivity analysis. This method uses an iterative procedure combined with an operator splitting. With this method we recover the well-known positivity result for the standard high Reynolds number model. Most importantly, we are able to prove the positivity result for general low Reynolds number k-epsilon models.

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6

Pelletier, D., and F. Ilinca. "Adaptive Remeshing for the k-Epsilon Model of Turbulence." AIAA Journal 35, no. 4 (April 1997): 640–46. http://dx.doi.org/10.2514/2.184.

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7

Bernard, Peter S. "Limitations of the near-wall k-epsilon turbulence model." AIAA Journal 24, no. 4 (April 1986): 619–22. http://dx.doi.org/10.2514/3.9316.

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8

Pelletier, D., and F. Ilinca. "Adaptive remeshing for the k-epsilon model of turbulence." AIAA Journal 35 (January 1997): 640–46. http://dx.doi.org/10.2514/3.13560.

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9

Karimpour, Farid, and Subhas K. Venayagamoorthy. "Some insights for the prediction of near-wall turbulence." Journal of Fluid Mechanics 723 (April 16, 2013): 126–39. http://dx.doi.org/10.1017/jfm.2013.117.

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AbstractIn this paper, we revisit the eddy viscosity formulation to highlight a number of important issues that have direct implications for the prediction of near-wall turbulence. For steady wall-bounded turbulent flows, we make the equilibrium assumption between rates of production ($P$) and dissipation ($\epsilon $) of turbulent kinetic energy ($k$) in the near-wall region to propose that the eddy viscosity should be given by ${\nu }_{t} \approx \epsilon / {S}^{2} $, where $S$ is the mean shear rate. We then argue that the appropriate velocity scale is given by $\mathop{(S{T}_{L} )}\nolimits ^{- 1/ 2} {k}^{1/ 2} $ where ${T}_{L} = k/ \epsilon $ is the turbulence (decay) time scale. The difference between this velocity scale and the commonly assumed velocity scale of ${k}^{1/ 2} $ is subtle but the consequences are significant for near-wall effects. We then extend our discussion to show that the fundamental length and time scales that capture the near-wall behaviour in wall-bounded shear flows are the shear mixing length scale ${L}_{S} = \mathop{(\epsilon / {S}^{3} )}\nolimits ^{1/ 2} $ and the mean shear time scale $1/ S$, respectively. With these appropriate length and time scales (or equivalently velocity and time scales), the eddy viscosity can be rewritten in the familiar form of the $k$–$\epsilon $ model as ${\nu }_{t} = \mathop{(1/ S{T}_{L} )}\nolimits ^{2} {k}^{2} / \epsilon $. We use the direct numerical simulation (DNS) data of turbulent channel flow of Hoyas & Jiménez (Phys. Fluids, vol. 18, 2006, 011702) and the turbulent boundary layer flow of Jiménez et al. (J. Fluid Mech. vol. 657, 2010, pp. 335–360) to perform ‘a priori’ tests to check the validity of the revised eddy viscosity formulation. The comparisons with the exact computations from the DNS data are remarkable and highlight how well the equilibrium assumption holds in the near-wall region. These findings could prove to be useful in near-wall modelling of turbulent flows.

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10

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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11

Karimpour, Farid, and Subhas K. Venayagamoorthy. "A revisit of the equilibrium assumption for predicting near-wall turbulence." Journal of Fluid Mechanics 760 (November 7, 2014): 304–12. http://dx.doi.org/10.1017/jfm.2014.532.

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AbstractIn this study, we revisit the consequence of assuming equilibrium between the rates of production ($P$) and dissipation $({\it\epsilon})$ of the turbulent kinetic energy $(k)$ in the highly anisotropic and inhomogeneous near-wall region. Analytical and dimensional arguments are made to determine the relevant scales inherent in the turbulent viscosity (${\it\nu}_{t}$) formulation of the standard $k{-}{\it\epsilon}$ model, which is one of the most widely used turbulence closure schemes. This turbulent viscosity formulation is developed by assuming equilibrium and use of the turbulent kinetic energy $(k)$ to infer the relevant velocity scale. We show that such turbulent viscosity formulations are not suitable for modelling near-wall turbulence. Furthermore, we use the turbulent viscosity $({\it\nu}_{t})$ formulation suggested by Durbin (Theor. Comput. Fluid Dyn., vol. 3, 1991, pp. 1–13) to highlight the appropriate scales that correctly capture the characteristic scales and behaviour of $P/{\it\epsilon}$ in the near-wall region. We also show that the anisotropic Reynolds stress ($\overline{u^{\prime }v^{\prime }}$) is correlated with the wall-normal, isotropic Reynolds stress ($\overline{v^{\prime 2}}$) as $-\overline{u^{\prime }v^{\prime }}=c_{{\it\mu}}^{\prime }(ST_{L})(\overline{v^{\prime 2}})$, where $S$ is the mean shear rate, $T_{L}=k/{\it\epsilon}$ is the turbulence (decay) time scale and $c_{{\it\mu}}^{\prime }$ is a universal constant. ‘A priori’ tests are performed to assess the validity of the propositions using the direct numerical simulation (DNS) data of unstratified channel flow of Hoyas & Jiménez (Phys. Fluids, vol. 18, 2006, 011702). The comparisons with the data are excellent and confirm our findings.

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12

Okiy, Karinate Valentine. "A Comparative Analysis of Turbulence Models Utilised for the Prediction of Turbulent Airflow through a Sudden Expansion." International Journal of Engineering Research in Africa 16 (June 2015): 64–78. http://dx.doi.org/10.4028/www.scientific.net/jera.16.64.

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The turbulent airflow in a circular duct with sudden expansion was investigated utilizing three turbulence models. The turbulence models chosen are: the k-epsilon model, the shear stress transport model and the Reynolds-stress model. The performance of the models was investigated with respect to the flow parameter-recirculation length. The turbulent kinetic energy and velocity predictions were compared between the turbulence models and with experimental data, then interpreted on the basis of the recirculation length. From the results, the shear stress transport model predictions of recirculation length had the closest agreement with the experimental result compared to the other model. Likewise, the convergence rate for the shear stress transport model was reasonable compared to that of the Reynolds model which has the slowest convergence rate. In light of these findings, the shear stress transport model was discovered to be the most appropriate for the investigation of turbulent air flow in a circular duct with sudden expansion. Keywords: Turbulence, recirculation length, sudden expansion, Turbulence models.

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13

YUAN, X. Q., T. Z. ZHAO, W. K. GUO, and P. XU. "PLASMA FLOW CHARACTERISTICS INSIDE THE SUPERSONIC D.C. PLASMA TORCH." International Journal of Modern Physics E 14, no. 02 (March 2005): 225–38. http://dx.doi.org/10.1142/s0218301305003016.

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A magnetohydrodynamic (MHD) model, which describes supersonic plasma flow inside the torch, is presented in this paper. It is a two-dimensional model but includes the K -epsilon model of turbulence, the gas viscous effects and compressible effects. The PHOENICS software is used for solving the governing equations, i.e. the conservation equations of mass, momentum, and energy together with the equations describing the K -epsilon model of turbulence. The calculated arc voltages and gas inflow rates are consistent with the experimental results when arc current and the working gas are the same as experiment. The plasma flow characteristics inside the supersonic plasma torch are analyzed in detail. Temperature, velocity, pressure and Mach number contours are presented to show the flow characteristics. Comparisons between turbulent and laminar models are made in detail also, and the results show the turbulent enhanced momentum and energy transport inside the supersonic plasma torch has little effect on the whole discharge area. The plasma flow inside the supersonic torch is mainly in the laminar state.

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14

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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15

OKUDA, Hiroshi, Genki YAGAWA, and Yuzuru EGUCHI. "Finite element thermal hydraulic analysis using k-.EPSILON. turbulence model." Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan 31, no. 5 (1989): 588–98. http://dx.doi.org/10.3327/jaesj.31.588.

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16

YAMAKAWA, Masanori, and Shinichi INAGE. "Modeling of k-.EPSILON. Turbulence Model by Statistical Turbulence Theory and its Applications." Transactions of the Japan Society of Mechanical Engineers Series B 57, no. 544 (1991): 4072–79. http://dx.doi.org/10.1299/kikaib.57.4072.

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17

Habib, Merouane. "Prediction of a Turbulent Flow in Bluff Body Stabilized Burner by Using Two Classical Models of Turbulence." International Journal of Engineering Research in Africa 32 (September 2017): 112–23. http://dx.doi.org/10.4028/www.scientific.net/jera.32.112.

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In present study, a detailed investigation of an annular jet at high diameter ratio r = 0,905 has been reported numerically. The numerical simulation was performed by making use of the commercial CFD code which discretizes the solution domain into quadrilateral elements and use a numerical finite volume method coupled with a multigrid resolution scheme. In this research the applications of k-epsilon and k-omega models for prediction of a turbulent flow in annular jet are described. The flow governing equations are solved by using a performed coupled algorithm. The results of predicted axial velocity profiles are compared with the experimental data. The computations indicated that the results predicted by k-epsilon model are in good agreement with the experiment.

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18

Yang, Z., and T. H. Shih. "New time scale based k-epsilon model for near-wall turbulence." AIAA Journal 31, no. 7 (July 1993): 1191–98. http://dx.doi.org/10.2514/3.11752.

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19

KIDO, Hiroyuki, Kenshiro NAKASHIMA, Hiroshi TAJIMA, and Toshiaki KITAGAWA. "A modified K-.EPSILON. turbulence model for in-cylinder gas flow." Transactions of the Japan Society of Mechanical Engineers Series B 53, no. 492 (1987): 2648–53. http://dx.doi.org/10.1299/kikaib.53.2648.

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20

Balabel, Ashraf, Mohammad Faizan, and Ali Alzaed. "Towards a Computational Fluid Dynamics-Based Fuzzy Logic Controller of the Optimum Windcatcher Internal Design for Efficient Natural Ventilation in Buildings." Mathematical Problems in Engineering 2021 (April 10, 2021): 1–10. http://dx.doi.org/10.1155/2021/9936178.

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Recently, increased attention has been given to the coupling of computational fluid dynamics (CFD) with the fuzzy logic control system for obtaining the optimum prediction of many complex engineering problems. The data provided to the fuzzy system can be obtained from the accurate computational fluid dynamics of such engineering problems. Windcatcher performance to achieve thermal comfort conditions in buildings, especially in hot climate regions, is considered as one such complex problem. Windcatchers can be used as natural ventilation and passive cooling systems in arid and windy regions in Saudi Arabia. Such systems can be considered as the optimum solution for energy-saving and obtaining thermal comfort in residential buildings in such regions. In the present paper, three-dimensional numerical simulations for a newly-developed windcatcher model have been performed using ANSYS FLUENT-14 software. The adopted numerical algorithm is first validated against previous experimental measurements for pressure coefficient distribution. Different turbulence models have been firstly applied in the numerical simulations, namely, standard k-epsilon model (1st and 2nd order), standard Wilcox k-omega model (1st and 2nd order), and SST k-omega model. In order to assess the accuracy of each turbulence model in obtaining the performance of the proposed model of the windcatcher system, it is found that the second order k-epsilon turbulence model gave the best results when compared with the previous experimental measurements. A new windcatcher internal design is proposed to enhance the ventilation performance. The fluid dynamics characteristics of the proposed model are presented, and the ventilation performance of the present model is estimated. The numerical velocity profiles showed good agreement with the experimental measurements for the turbulence model. The obtained results have shown that the second order k-epsilon turbulence can predict the different important parameters of the windcatcher model. Moreover, the coupling algorithm of CFD and the fuzzy system for obtaining the optimum operating parameters of the windcatcher design are described.

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21

TAKANASHI, Wako. "Renormalization Group Analysis of k-.EPSILON. Model and LES Model on Turbulence Problem." Transactions of the Japan Society of Mechanical Engineers Series B 57, no. 540 (1991): 2716–18. http://dx.doi.org/10.1299/kikaib.57.2716.

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22

TAKANASHI, Wako. "Renormalization Group Analyses of k-ε Model and LES Model of Turbulence Problem." JSME international journal. Ser. 2, Fluids engineering, heat transfer, power, combustion, thermophysical properties 35, no. 2 (1992): 186–88. http://dx.doi.org/10.1299/jsmeb1988.35.2_186.

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23

HIRATA, Yoshinari, Akira MANO, Keiko UDO, and shuichi KURE. "A PREDICTION OF TURBULENCE IN STEEP SLOPE FLOW WITH VEGETATION BY k-ε TURBULENT MODEL." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 70, no. 4 (2014): I_859—I_864. http://dx.doi.org/10.2208/jscejhe.70.i_859.

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24

Hu, Xing Jun, Peng Qin, Peng Guo, and Yang An. "Effect of Turbulence Parameters on Numerical Simulation of Complex Automotive External Flow Field." Applied Mechanics and Materials 52-54 (March 2011): 1062–67. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1062.

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Numerical simulations for the Ahmed model with 25° slant angle are performed under three different turbulent parameters, intensity and length scale, intensity and viscosity ratio, k and epsilon. The external flow field of ahmed model with 25° slant angle is got, and all the velocity vectors, pressure distribution and the drag coefficient of the flow field are obtained as well. The comparison between the numerical simulations and the experimental statistics shows that intensity and viscosity and k and epsilon characterized by higher computation accuracy are more suitable for numerical simulation of automotive external flow field.

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25

NEZU, Iehisa, and Hiroji NAKAGAWA. "Numerical calculation of turbulent open-channel flows by using a modified k-.EPSILON. turbulence model." Doboku Gakkai Ronbunshu, no. 387 (1987): 125–34. http://dx.doi.org/10.2208/jscej.1987.387_125.

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26

Yakhot, A., I. Staroselsky, and S. A. Orszag. "Asymptotic behavior of solutions of the renormalization group k-epsilon turbulence model." AIAA Journal 32, no. 5 (May 1994): 1087–89. http://dx.doi.org/10.2514/3.12101.

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27

Sugihara, Yuji, Nobuhiro Matsunaga, Akira Masuda, and Toshimitsu Komatsu. "Validity of the standard k-.EPSILON. model for diffusion-dissipation balanced turbulence." Doboku Gakkai Ronbunshu, no. 521 (1995): 93–100. http://dx.doi.org/10.2208/jscej.1995.521_93.

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28

TAKEMITSU, Nobumasa. "Analytical solution of the k-.EPSILON. turbulence model wih negligible wall stress." Transactions of the Japan Society of Mechanical Engineers Series B 56, no. 532 (1990): 3672–79. http://dx.doi.org/10.1299/kikaib.56.3672.

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29

LEW†, ADRIAN J., GUSTAVO C. BUSCAGLIA, and PABLO M. CARRICA. "A Note on the Numerical Treatment of the k-epsilon Turbulence Model*." International Journal of Computational Fluid Dynamics 14, no. 3 (January 2001): 201–9. http://dx.doi.org/10.1080/10618560108940724.

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30

Ilinca, Florin, and Dominique Pelletier. "Positivity preservation and adaptive solution for the k-epsilon model of turbulence." AIAA Journal 36 (January 1998): 44–50. http://dx.doi.org/10.2514/3.13776.

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31

Bacak, Aykut, and Ali Pinarbasi. "Numerical Investigation of Acoustics Performance of Low- Pressure Ducted Axial Fan by Using Different Turbulence Models." ITM Web of Conferences 22 (2018): 01004. http://dx.doi.org/10.1051/itmconf/20182201004.

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In this article, capacity and acoustics parameters of low pressure ducted axial fan is numerically investigated with Realizable k-epsilon, k-w SST and DES turbulence models by using computational fluid dynamics software. One slice of six bladed axial fan operating at 3000 RPM is simulated periodically as low pressure ducted axial ventilation fan. Simulations are run for operating point on the performance curve for each turbulence models. Investigation of acoustics parameters are obtained Ffowcs-Williams Hawkings acoustic model to calculate sound pressure levels for related frequencies. Numerical results are compared with the experimental results provided from blade manufacturer company.

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32

Ofei, Titus Ntow, and Aidil Yunus Ismail. "Eulerian-Eulerian Simulation of Particle-Liquid Slurry Flow in Horizontal Pipe." Journal of Petroleum Engineering 2016 (September 29, 2016): 1–10. http://dx.doi.org/10.1155/2016/5743471.

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In this study, a computational fluid dynamics (CFD) simulation which adopts the inhomogeneous Eulerian-Eulerian two-fluid model in ANSYS CFX-15 was used to examine the influence of particle size (90 μm to 270 μm) and in situ particle volume fraction (10% to 40%) on the radial distribution of particle concentration and velocity and frictional pressure loss. The robustness of various turbulence models such as the k-epsilon (k-ε), k-omega (k-ω), SSG Reynolds stress, shear stress transport, and eddy viscosity transport was tested in predicting experimental data of particle concentration profiles. The k-epsilon model closely matched the experimental data better than the other turbulence models. Results showed a decrease in frictional pressure loss as particle size increased at constant particle volume fraction. Furthermore, for a constant particle volume fraction, the radial distribution of particle concentration increased with increasing particle size, where high concentration of particles occurred at the bottom of the pipe. Particles of size 90 μm were nearly buoyant especially for high particle volume fraction of 40%. The CFD study shows that knowledge of the variation of these parameters with pipe position is very crucial if the understanding of pipeline wear, particle attrition, or agglomeration is to be advanced.

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33

Kunz, Robert F., and Budugur Lakshminarayana. "Explicit Navier-Stokes computation of cascade flows using the k-epsilon turbulence model." AIAA Journal 30, no. 1 (January 1992): 13–22. http://dx.doi.org/10.2514/3.10876.

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34

Rubel, Arthur. "On the vortex stretching modification of the k-epsilon turbulence model - Radial jets." AIAA Journal 23, no. 7 (July 1985): 1129–30. http://dx.doi.org/10.2514/3.9051.

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35

MYONG, Hyon Kook, Nobuhide KASAGI, and Toshio KOBAYASHI. "Numerical prediction of boundary layer flows with the anisotropic k-.EPSILON. turbulence model." Transactions of the Japan Society of Mechanical Engineers Series B 56, no. 531 (1990): 3305–12. http://dx.doi.org/10.1299/kikaib.56.3305.

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36

Chenault, Clarence F., and Philip S. Beran. "K-epsilon and Reynolds stress turbulence model comparisons for two-dimensional injection flows." AIAA Journal 36 (January 1998): 1401–12. http://dx.doi.org/10.2514/3.13982.

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37

KIDO, Hiroyuki, Kenshiro NAKASHIMA, Hiroshi TAJIMA, and Toshiaki KITAGAWA. "A Modification of the K-ε Turbulence Model for In-Cylinder Gas Flow." JSME international journal. Ser. 2, Fluids engineering, heat transfer, power, combustion, thermophysical properties 32, no. 1 (1989): 85–90. http://dx.doi.org/10.1299/jsmeb1988.32.1_85.

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38

Muralha, António, José F. Melo, and Helena M. Ramos. "Assessment of CFD Solvers and Turbulent Models for Water Free Jets in Spillways." Fluids 5, no. 3 (June 30, 2020): 104. http://dx.doi.org/10.3390/fluids5030104.

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The capability of two different OpenFOAM® solvers, namely interFoam and twoPhaseEulerFoam, in reproducing the behavior of a free water jet was investigated. Numerical simulations were performed in order to obtain the velocity and air concentration profiles along the jet. The turbulence intensity was also analyzed. The obtained results were compared with published experimental data and, in general, similar velocity and air concentration profiles were found. InterFoam solver is able to reproduce the velocity field of the free jet but has limitations in the simulation of the air concentration. TwoPhaseEulerFoam performs better in reproducing the air concentration along the jet, the results being in agreement with the experimental data, although the computational runs are less stable and more time consuming. The sensitivity analysis of the inlet turbulent intensity showed that it has no influence in the characteristics of the jet core. With this research it is possible to conclude that: interFoam with k-Epsilon (k-ε) turbulence model is the best choice if the goal of the numerical simulations is the simulation of the velocity field of the jet. Meanwhile, twoPhaseEulerFoam with mixturek-Epsilon (mk-ε) shall be considered if the objective is the simulation of the velocity field and the air concentration.

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ETO, Toshihiko, and Yusuke FUKUSHIMA. "Proposal for a numerical simulation model of powder snow avalanches using the k-.EPSILON. turbulence model." Journal of the Japanese Society of Snow and Ice 65, no. 1 (2003): 3–14. http://dx.doi.org/10.5331/seppyo.65.3.

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Matsunashi, Junzaburo, Hiromu Shibata, and Toru Yagishita. "Numerical experiment of vertical jet with a K-.EPSILON. two-equation model of turbulence." JOURNAL OF THE FLOW VISUALIZATION SOCIETY OF JAPAN 5, no. 18 (1985): 279–84. http://dx.doi.org/10.3154/jvs1981.5.279.

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41

Michelassi, V., W. Rodi, and J. Zhu. "Testing a low-Reynolds number k-epsilon turbulence model based on direct simulation data." AIAA Journal 31, no. 9 (September 1993): 1720–23. http://dx.doi.org/10.2514/3.11835.

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FUKUSHIMA, Yusuke, Kazunari FUJITA, Takefumi SUZUKI, Kenji KOSUGI, and Takeshi SATO. "Fluid dynamic analysis of snow drift using a non-Boussinesq k-.EPSILON. turbulence model." Journal of the Japanese Society of Snow and Ice 61, no. 4 (1999): 285–96. http://dx.doi.org/10.5331/seppyo.61.285.

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43

Guo, Bao Dong, Pei Qing Liu, Qiu Lin Qu, and Yue Li Cui. "Turbulence Models Performance Assessment for Pressure Prediction during Cylinder Water Entry." Applied Mechanics and Materials 224 (November 2012): 225–29. http://dx.doi.org/10.4028/www.scientific.net/amm.224.225.

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Numerical simulations of two-dimensional cylinder free droping into water are presented based on volume of fluid (VOF) method and dynamic mesh technique. Solutions with a time-accurate finite-volume method (FVM) were generated based on the unsteady compressible ensemble averaged Navier-Stokes equations for the air and the unsteady incompressible ensemble averaged Navier-Stokes equations for the water. Computed pressure histories of the cylinder were compared with experimentally measured values. The performance of various turbulence models for pressure prediction was assessed. The results indicate that Realizable k-epsilon model with Enhanced Wall Treatment is the best choice for engineering practice.

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44

Cheng, Yu Ting, Zhao Peng Jia, and Shi Liu. "Numerical Study of the Co-Firing Pulverized Coal and Biomass." Applied Mechanics and Materials 170-173 (May 2012): 3419–24. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.3419.

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This study presented Computational Fluid Dynamic (CFD) analysis of the effect of co-firing coal blended with biomass, which is saw dust here. This complex problem which is because of its turbulent on the chemical reactions has been simulated in this paper for the purpose to decline the large amount of cost of doing experiment. The CFD analysis includes the prediction of vectors of the gas phase and DPM burnout result alike. What’s more, the reduction of CO2 by coal blended with different proportions of biomass has been presented because of low content of char in biomass. The mathematical models consist of models for turbulence flow(RNG K-EPSILON MODEL);non-premixed model with two mixture fractions/PDF model; and radiation (P-1 radiation model). The coal is from An Qin in China, and then respectively blended with 5% and 10% saw dust for co-combustion.

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Viollet, P. L., and O. Simonin. "Modelling Dispersed Two-Phase Flows: Closure, Validation and Software Development." Applied Mechanics Reviews 47, no. 6S (June 1, 1994): S80—S84. http://dx.doi.org/10.1115/1.3124445.

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Closure for the Eulerian modelling of two-phase flows have been developed, based upon extensions of the theory of Tchen of the dispersion of particles in homogeneous turbulence. This model has been validated using large-eddy simulation of homogeneous turbulence, jets loaded with particles, and bubbly flows. In addition with k-epsilon model for the continuous phase, and closures for the Reynolds stresses of the dispersed phase, this theory has been implemented in 2D and 3D software solving the Eulerian two-phase equations (Me´lodif in 2D, as a research code, and ESTET-ASTRID in 3D). These softwares have been applied to complex situations of industrial interest.

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46

LEE, Young Jae, and Yoshiaki ONUMA. "Modeling of turbulent jet diffusion flames. 1st Report, modification of k-.EPSILON. turbulence model with isothermal hot air jets." Transactions of the Japan Society of Mechanical Engineers Series B 56, no. 532 (1990): 3921–27. http://dx.doi.org/10.1299/kikaib.56.3921.

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MYONG, Hyon Kook, and Nobuhide KASAGI. "A new proposal for a k-.EPSILON. turbulence model and its evaluation. (1st Report, Development of the model)." Transactions of the Japan Society of Mechanical Engineers Series B 54, no. 507 (1988): 3003–9. http://dx.doi.org/10.1299/kikaib.54.3003.

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MYONG, Hyon Kook, and Nobuhide KASAGI. "A new proposal for a k-.EPSILON. turbulence model and its evaluation. (2nd Report, Evaluation of the model)." Transactions of the Japan Society of Mechanical Engineers Series B 54, no. 508 (1988): 3512–20. http://dx.doi.org/10.1299/kikaib.54.3512.

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Abed, Bouabdellah, Lakhdar Bouarbi, Mohamed Bouzit, and Mohamed-Kamel Hamidou. "A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number." Przegląd Naukowy Inżynieria i Kształtowanie Środowiska 26, no. 4 (December 30, 2017): 423–36. http://dx.doi.org/10.22630/pniks.2017.26.4.41.

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Realizing the growing importance and availability of motor vehicles, we observe that the main source of pollution in the street canyons comes from the dispersion of automobile engine exhaust gas. It represents a substantial effect on the micro-climate conditions in urban areas. Seven idealized-2D building configurations are investigated by numerical simulations. The turbulent Schmidt number is introduced in the pollutant transport equation in order the take into account the proportion between the rate of momentum turbulent transport and the mass turbulent transport by diffusion. In the present paper, we attempt to approach the experimental test results by adjusting the values of turbulent Schmidt number to its corresponding application. It was with interest that we established this link for achieving our objectives, since the numerical results agree well with the experimental ones. The CFD code ANSYS CFX, the k, e and the RNGk-e models of turbulence have been adopted for the resolutions. From the simulation results, the turbulent Schmidt number is a range of 0.1 to 1.3 that has some effect on the prediction of pollutant dispersion in the street canyons. In the case of a flat roof canyon configuration (case: runa000), appropriate turbulent Schmidt number of 0.6 is estimated using the k-epsilon model and of 0.5 using the RNG k-e model.

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MYONG, Hyon Kook, and Nobuhide KASAGI. "A New Approach to the Improvement of k-ε Turbulence Model for Wall-Bounded Shear Flows." JSME international journal. Ser. 2, Fluids engineering, heat transfer, power, combustion, thermophysical properties 33, no. 1 (1990): 63–72. http://dx.doi.org/10.1299/jsmeb1988.33.1_63.

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