A Short Review on RANS Turbulence Models

Article history: Received 23 September 2020 Received in revised form 21 November 2020 Accepted 25 November 2020 Available online 30 November 2020 Reynolds-Averaged Navier-Stokes (RANS) are such model equations and are used to simulate numerous fluid flow problem. This article focuses on the most well-known of RANS turbulence modelling and its application to industrial flows. Among all the RANS models, low Reynold number (LRN) k   turbulence model is more accurate that the standard k   turbulence model. This paper intends to provide a brief review of researches on RANS turbulence modelling for the fundamental understanding in solving fluid flow problem and identifies opportunities for future research.

[1]  M. Ferdows,et al.  MHD Flow and Heat Transfer of Double Stratified Micropolar Fluid over a Vertical Permeable Shrinking/Stretching Sheet with Chemical Reaction and Heat Source , 2020, Journal of Advanced Research in Applied Sciences and Engineering Technology.

[2]  N. A. C. Sidik,et al.  A Brief Review of Particle Dispersion of Cavity Flow , 2020, Journal of Advanced Research in Applied Sciences and Engineering Technology.

[3]  D. Roychowdhury Turbulence Modeling , 2020, Computational Fluid Dynamics for Incompressible Flows.

[4]  N. Sidik,et al.  EFFECT OF CYLINDER DIAMETER ON STATE QUANTITIES FOR IRREVERSIBLE PROCESS IN PISTON-CYLINDER SYSTEM , 2019 .

[5]  Mesbah Uddin,et al.  Turbulence Modeling Effects on the CFD Predictions of Flow over a Detailed Full-Scale Sedan Vehicle , 2019, Fluids.

[6]  N. Sidik,et al.  Numerical analysis of irreversible processes in a piston-cylinder system using LB1S turbulence model , 2019, International Journal of Heat and Mass Transfer.

[7]  Y. Asako,et al.  Numerical analysis for irreversible processes in a piston-cylinder system , 2018, International Journal of Heat and Mass Transfer.

[8]  H. Fadhila,et al.  A novel laminar kinetic energy model for the prediction of pretransitional velocity fluctuations and boundary layer transition , 2018 .

[9]  José C. Páscoa,et al.  Assessment of RANS turbulence models for numerical study of laminar-turbulent transition in convection heat transfer , 2017 .

[10]  R. Ricci,et al.  Numerical modeling of the flow over wind turbine airfoils by means of Spalart–Allmaras local correlation based transition model , 2017 .

[11]  Y. Dubief,et al.  An integral validation technique of RANS turbulence models , 2017 .

[12]  Y. Asako,et al.  Mach number at outlet plane of a straight micro-tube , 2016 .

[13]  Gil Ho Yoon,et al.  Topology optimization for turbulent flow with Spalart-Allmaras model , 2016 .

[14]  Marco Mancini,et al.  Direct Numerical Simulation of Turbulent Channel Flow on High-Performance GPU Computing System , 2016, Comput..

[15]  X. Nie,et al.  A Comparison of Low Reynolds Number k Models , 2015 .

[16]  Heinz Herwig,et al.  Turbulent flow in rough wall channels: Validation of RANS models , 2015 .

[17]  Yang Zhiyin,et al.  Large-eddy simulation: Past, present and the future , 2015 .

[18]  V. D'Alessandro,et al.  Spalart–Allmaras model apparent transition and RANS simulations of laminar separation bubbles on airfoils , 2014 .

[19]  Paul G. Tucker,et al.  Trends in turbomachinery turbulence treatments , 2013 .

[20]  Akshat Mathur,et al.  Performance and implementation of the Launder–Sharma low-Reynolds number turbulence model , 2013 .

[21]  Asghar Afshari,et al.  Large-eddy simulations of turbulent flows in internal combustion engines , 2013 .

[22]  P. Blondeaux,et al.  RANS modelling of the turbulent boundary layer under a solitary wave , 2012 .

[23]  Paul G. Tucker,et al.  Computation of unsteady turbomachinery flows: Part 1Progress and challenges , 2011 .

[24]  Rajeev K. Jaiman,et al.  Industrial application of RANS modelling: capabilities and needs , 2009 .

[25]  Florian R. Menter,et al.  Review of the shear-stress transport turbulence model experience from an industrial perspective , 2009 .

[26]  P. Spalart,et al.  Turbulence Model Behavior in Low Reynolds Number Regions of Aerodynamic Flowfields , 2008 .

[27]  S. J. Karabelas,et al.  Water vapor condensation in forced convection flow over an airfoil , 2008 .

[28]  Assensi Oliva,et al.  Analysis of different RANS models applied to turbulent forced convection , 2007 .

[29]  Shia-Hui Peng,et al.  An improved k−ω turbulence model applied to recirculating flows , 2002 .

[30]  R. Mehta Numerical simulation of supersonic turbulent jets impinging on an axisymmetric deflector , 2002 .

[31]  Keh-Chin Chang,et al.  A Modified Low-Reynolds-Number Turbulence Model Applicable to Recirculating Flow in Pipe Expansion , 1995 .

[32]  Ken-ichi Abe,et al.  A new turbulence model for predicting fluid flow and heat transfer in separating and reattaching flows—I. Flow field calculations , 1995 .

[33]  Y. Nagano,et al.  Rigorous Modeling of Dissipation-Rate Equation Using Direct Simulations , 1995 .

[34]  T. Shih,et al.  New time scale based k-epsilon model for near-wall turbulence , 1993 .

[35]  Ridha Abid,et al.  Evaluation of two-equation turbulence models for predicting transitional flows , 1993 .

[36]  P. Spalart A One-Equation Turbulence Model for Aerodynamic Flows , 1992 .

[37]  P. Durbin Near-wall turbulence closure modeling without “damping functions” , 1991, Theoretical and Computational Fluid Dynamics.

[38]  B. Launder,et al.  The numerical computation of turbulent flows , 1990 .

[39]  T. Barth,et al.  A one-equation turbulence transport model for high Reynolds number wall-bounded flows , 1990 .

[40]  Nobuhide Kasagi,et al.  A New Approach to the Improvement of k-ε Turbulence Model for Wall-Bounded Shear Flows , 1990 .

[41]  Sutanu Sarkar,et al.  Application of a Reynolds stress turbulence model to the compressible shear layer , 1990 .

[42]  N. Markatos,et al.  The mathematical modelling of turbulent flows , 1986 .

[43]  V. C. Patel,et al.  Turbulence models for near-wall and low Reynolds number flows - A review , 1985 .

[44]  T. J. Coakley,et al.  Turbulence modeling methods for the compressible Navier-Stokes equations , 1983 .

[45]  Klaus Bremhorst,et al.  A Modified Form of the k-ε Model for Predicting Wall Turbulence , 1981 .

[46]  B. Launder,et al.  Application of the energy-dissipation model of turbulence to the calculation of flow near a spinning disc , 1974 .

[47]  W. Jones,et al.  The prediction of laminarization with a two-equation model of turbulence , 1972 .

[48]  P. Saffman,et al.  A model for inhomogeneous turbulent flow , 1970, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[49]  Lewis F. Richardson,et al.  Weather Prediction by Numerical Process , 1922 .

[50]  Z. Idham,et al.  The Effect of Fluid Flow Rate and Extraction Time in Supercritical Carbon Dioxide , 2019 .

[51]  N. Sidik,et al.  Piston Surface Pressure of Piston-Cylinder System with Finite Piston Speed , 2018 .

[52]  L. Lei,et al.  A Comparison of Low Reynolds Number k − ε Models , 2015 .

[53]  L. Davidson,et al.  Low-Reynolds Number Turbulence Models:An Approach for Reducing Mesh Sensitivity , 2004 .

[54]  S. Perng,et al.  Squish effect of piston crown on the turbulent heat transfer in reciprocating engine , 2001 .

[55]  P. Moin,et al.  DIRECT NUMERICAL SIMULATION: A Tool in Turbulence Research , 1998 .

[56]  A. Mujumdar,et al.  NUMERICAL FLOW AND HEAT TRANSFER UNDER IMPINGING JETS: A REVIEW , 1989 .

[57]  日本機械学会 JSME international journal. Ser. 2, Fluids engineering, heat transfer, power, combustion, thermophysical properties , 1988 .

[58]  J. Lumley,et al.  A First Course in Turbulence , 1972 .

[59]  Osborne Reynolds,et al.  XXIX. An experimental investigation of the circumstances which determine whether the motion of water shall be direct or sinuous, and of the law of resistance in parallel channels , 1883, Philosophical Transactions of the Royal Society of London.