Assessment of low-Reynolds number k-ε turbulence models against highly buoyant

被引:22
作者
Bae, Yoon-Yeong [1 ]
Kim, Eung-Seon [1 ]
Kim, Minhwan [1 ]
机构
[1] Korea Atom Energy Res Inst, 111 Daedeok Daero 989, Yuseong 34057, Daejeon, South Korea
基金
新加坡国家研究基金会;
关键词
Turbulent heat transfer; Low-Reynolds number turbulence model; Supercritical pressure; Strong buoyancy; CONVECTIVE HEAT-TRANSFER; NUMERICAL-SIMULATION; PRANDTL NUMBER; CARBON-DIOXIDE; PREDICTION; PRESSURE; FLUIDS; FLOWS;
D O I
10.1016/j.ijheatmasstransfer.2016.12.039
中图分类号
O414.1 [热力学];
学科分类号
摘要
Low-Reynolds-number k-epsilon turbulence models have been successfully used by numerous researchers in various applications. It has been found that the Myong-Kasagi model (MK) among them outperforms in simulations of thermal-fluid fields at supercritical pressures and near the corresponding pseudo critical temperature. However, they are used as is without a clear understanding of the cause of the good performance. In this paper, several well-known low-Reynolds-number turbulence models, including MK, are critically reviewed against DNS data and RANS calculation results to find the reasons, if any exist, for the superiority of MK model. The most outstanding factor identified may be the fact that MK introduced the Taylor microscale as the near-wall length scale and combined it with the integral length to result in a combined turbulence length scale, which is valid over the entire range of a turbulent boundary layer. The eddy viscosity formula with the incorporation of the turbulence length scale is naturally expected to provide a better representation of flows with strong buoyancy due to wall heating, especially in the near-wall region, where the buoyancy effect mainly occurs. As a result, MK-simulated highly buoyant flows showed excellent agreement with experimental data when applied with the property-dependent turbulent Prandtl number and shear-stress-dependent damping length. A comparison with DNS data of the turbulence data obtained from RANS calculations with MK also showed a good agreement. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:529 / 536
页数:8
相关论文
共 20 条
[11]  
Davidson P. A., 2004, TURBULENCE
[12]  
Ferziger J., 2002, Computational Methods for Fluid Dynamics, V3, DOI [10.1007/978-3-642-56026-2, DOI 10.1007/978-3-642-56026-2]
[13]   A computational study of convective heat transfer to carbon dioxide at a pressure just above the critical value [J].
He, S. ;
Kim, W. S. ;
Jackson, J. D. .
APPLIED THERMAL ENGINEERING, 2008, 28 (13) :1662-1675
[14]   PREDICTION OF LAMINARIZATION WITH A 2-EQUATION MODEL OF TURBULENCE [J].
JONES, WP ;
LAUNDER, BE .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 1972, 15 (02) :301-+
[15]  
Launder B. E., 1974, Letters in Heat and Mass Transfer, V1, P131, DOI 10.1016/0094-4548(74)90150-7
[16]  
Launder B.E., 2005, PREDICTION TURBULENT
[17]  
Lemmon Eric W., 2010, NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties-REFPROP, Version10.0, DOI [DOI 10.18434/T4D303, 10.18434/T4D303]
[18]   A NEW APPROACH TO THE IMPROVEMENT OF KAPPA-EPSILON TURBULENCE MODEL FOR WALL-BOUNDED SHEAR FLOWS [J].
MYONG, HK ;
KASAGI, N .
JSME INTERNATIONAL JOURNAL SERIES II-FLUIDS ENGINEERING HEAT TRANSFER POWER COMBUSTION THERMOPHYSICAL PROPERTIES, 1990, 33 (01) :63-72
[19]   Experimental and numerical investigation of turbulent convective heat transfer deterioration of supercritical water in vertical tube [J].
Zhang, Ge ;
Zhang, Hao ;
Gu, Hanyang ;
Yang, Yanhua ;
Cheng, Xu .
NUCLEAR ENGINEERING AND DESIGN, 2012, 248 :226-237
[20]   Numerical Simulation of Heat Transfer of Supercritical Fluids in Circular Tubes Using Different Turbulence Models [J].
Zhang, Yina ;
Zhang, Chao ;
Jiang, Jin .
JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, 2011, 48 (03) :366-373