A Comparative Study of Performance of Low Reynolds Number Turbulence Models for Various Heat Transfer Enhancement Simulations

Ankit Tiwari, Savas Yavuzkurt

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The goal of this study is to evaluate the computational fluid dynamic (CFD) predictions of friction factor and Nusselt number from six different low Reynolds number k-ϵ (LRKE) models namely Chang-Hsieh-Chen (CHC), Launder-Sharma (LS), Abid, Lam-Bremhorst (LB), Yang-Shih (YS), and Abe-Kondoh-Nagano (AKN) for various heat transfer enhancement applications. Standard and realizable k-ϵ (RKE) models with enhanced wall treatment (EWT) were also studied. CFD predictions of Nusselt number, Stanton number, and friction factor were compared with experimental data from literature. Various parameters such as effect of type of mesh element and grid resolution were also studied. It is recommended that a model, which predicts reasonably accurate values for both friction factor and Nusselt number, should be chosen over disparate models, which may predict either of these quantities more accurately. This is based on the performance evaluation criterion developed by Webb and Kim (2006, Principles of Enhanced Heat Transfer, 2nd ed., Taylor and Francis Group, pp. 1-72) for heat transfer enhancement. It was found that all LRKE models failed to predict friction factor and Nusselt number accurately (within 30%) for transverse rectangular ribs, whereas standard and RKE with EWT predicted friction factor and Nusselt number within 25%. Conversely, for transverse grooves, AKN, AKN/CHC, and LS (with modified constants) models accurately predicted (within 30%) both friction factor and Nusselt number for rectangular, circular, and trapezoidal grooves, respectively. In these cases, standard and RKE predictions were inaccurate and inconsistent. For longitudinal fins, Standard/RKE model, AKN, LS and Abid LRKE models gave the friction factor and Nusselt number predictions within 25%, with the AKN model being the most accurate.

Original languageEnglish (US)
Article number071902
JournalJournal of Heat Transfer
Volume141
Issue number7
DOIs
StatePublished - Jul 1 2019

Fingerprint

turbulence models
low Reynolds number
friction factor
Turbulence models
Nusselt number
Reynolds number
heat transfer
Heat transfer
augmentation
Friction
simulation
computational fluid dynamics
predictions
grooves
Stanton number
Computational fluid dynamics
fins
mesh
grids
evaluation

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

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title = "A Comparative Study of Performance of Low Reynolds Number Turbulence Models for Various Heat Transfer Enhancement Simulations",
abstract = "The goal of this study is to evaluate the computational fluid dynamic (CFD) predictions of friction factor and Nusselt number from six different low Reynolds number k-ϵ (LRKE) models namely Chang-Hsieh-Chen (CHC), Launder-Sharma (LS), Abid, Lam-Bremhorst (LB), Yang-Shih (YS), and Abe-Kondoh-Nagano (AKN) for various heat transfer enhancement applications. Standard and realizable k-ϵ (RKE) models with enhanced wall treatment (EWT) were also studied. CFD predictions of Nusselt number, Stanton number, and friction factor were compared with experimental data from literature. Various parameters such as effect of type of mesh element and grid resolution were also studied. It is recommended that a model, which predicts reasonably accurate values for both friction factor and Nusselt number, should be chosen over disparate models, which may predict either of these quantities more accurately. This is based on the performance evaluation criterion developed by Webb and Kim (2006, Principles of Enhanced Heat Transfer, 2nd ed., Taylor and Francis Group, pp. 1-72) for heat transfer enhancement. It was found that all LRKE models failed to predict friction factor and Nusselt number accurately (within 30{\%}) for transverse rectangular ribs, whereas standard and RKE with EWT predicted friction factor and Nusselt number within 25{\%}. Conversely, for transverse grooves, AKN, AKN/CHC, and LS (with modified constants) models accurately predicted (within 30{\%}) both friction factor and Nusselt number for rectangular, circular, and trapezoidal grooves, respectively. In these cases, standard and RKE predictions were inaccurate and inconsistent. For longitudinal fins, Standard/RKE model, AKN, LS and Abid LRKE models gave the friction factor and Nusselt number predictions within 25{\%}, with the AKN model being the most accurate.",
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A Comparative Study of Performance of Low Reynolds Number Turbulence Models for Various Heat Transfer Enhancement Simulations. / Tiwari, Ankit; Yavuzkurt, Savas.

In: Journal of Heat Transfer, Vol. 141, No. 7, 071902, 01.07.2019.

Research output: Contribution to journalArticle

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