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

机译:低雷诺数湍流模型在各种传热强化模拟中性能的比较研究

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摘要

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-epsilon (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-epsilon (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.
机译:这项研究的目的是评估来自六个不同的低雷诺数k-ε(LRKE)模型的计算流体力学(CFD)对摩擦系数和Nusselt数的预测,分别是Chang-Hsieh-Chen(CHC),Launder-Sharma(LS ),Abid,Lam-Bremhorst(LB),Yang-Shih(YS)和Abe-Kondoh-Nagano(AKN)用于各种传热增强应用。还研究了具有增强壁处理(EWT)的标准和可实现的k-ε(RKE)模型。 CFD对Nusselt数,Stanton数和摩擦系数的预测与文献中的实验数据进行了比较。还研究了各种参数,例如网格元素类型的影响和网格分辨率。建议选择一个模型,该模型可以预测摩擦系数和努塞尔数的合理准确值,而应选择不同的模型,后者可以更准确地预测这两个量中的一个。这是基于Webb和Kim(2006,增强传热的原理,第二版,泰勒和弗朗西斯集团,第1-72页)制定的性能评估标准,用于增强传热。结果发现,所有的LRKE模型都无法准确预测横向矩形肋的摩擦系数和Nusselt数(在30%以内),而带有EWT的标准和RKE模型无法预测摩擦系数和Nusselt数在25%以内。相反,对于横向沟槽,AKN,AKN / CHC和LS(具有修改的常数)模型分别准确地预测(在30%之内)矩形,圆形和梯形沟槽的摩擦系数和Nusselt数。在这些情况下,标准和RKE的预测是不准确和不一致的。对于纵向鳍片,Standard / RKE模型,AKN,LS和Abid LRKE模型给出的摩擦系数和Nusselt数预测在25%以内,其中AKN模型最为准确。

著录项

  • 来源
    《Journal of Heat Transfer》 |2019年第7期|071902.1-071902.12|共12页
  • 作者

    Tiwari Ankit; Yavuzkurt Savas;

  • 作者单位

    Penn State, Dept MNE, 59 Old Lyme Dr Apartment 1, Buffalo, NY 14221 USA|Gentherm Inc, Buffalo, NY 14221 USA;

    Penn State, Dept MNE, 327 Reber, University Pk, PA 16802 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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