Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids

A theoretical study is performed to determine the turbulent Prandtl number (Prt ) for liquids of wide range of molecular Prandtl number (Pr=1 to 600) under turbulent flow conditions of Reynolds number range 10000- 100000 by analysis of experimental momentum and heat transfer data of other authors...

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Main Author: Basim O. Hasan
Format: Article
Language:English
Published: Al-Nahrain Journal for Engineering Sciences 2007-03-01
Series:مجلة النهرين للعلوم الهندسية
Subjects:
Online Access:https://nahje.com/index.php/main/article/view/486
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spelling doaj-c75468883e974de7be6982a6c333d9d02020-11-24T21:21:54ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622007-03-011015364486Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for LiquidsBasim O. Hasan0Chemistry. Engineering Dept.- Nahrain UniversityA theoretical study is performed to determine the turbulent Prandtl number (Prt ) for liquids of wide range of molecular Prandtl number (Pr=1 to 600) under turbulent flow conditions of Reynolds number range 10000- 100000 by analysis of experimental momentum and heat transfer data of other authors. A semi empirical correlation for Prt is obtained and employed to predict the heat transfer coefficient for the investigated range of Re and molecular Prandtl number (Pr). Also an expression for momentum eddy diffusivity is developed. The results revealed that the Prt is less than 0.7 and is function of both Re and Pr according to the following relation: Prt=6.374Re-0.238 Pr-0.161 The capability of many previously proposed models of Prt in predicting the heat transfer coefficient is examined. Cebeci [1973] model is found to give good accuracy when used with the momentum eddy diffusivity developed in the present analysis. The thickness of thermal sublayer decreases with Reynolds number and molecular Prandtl number.https://nahje.com/index.php/main/article/view/486Turbulent FlowHeat Transfer oefficient
collection DOAJ
language English
format Article
sources DOAJ
author Basim O. Hasan
spellingShingle Basim O. Hasan
Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids
مجلة النهرين للعلوم الهندسية
Turbulent Flow
Heat Transfer oefficient
author_facet Basim O. Hasan
author_sort Basim O. Hasan
title Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids
title_short Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids
title_full Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids
title_fullStr Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids
title_full_unstemmed Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids
title_sort turbulent prandtl number and its use in prediction of heat transfer coefficient for liquids
publisher Al-Nahrain Journal for Engineering Sciences
series مجلة النهرين للعلوم الهندسية
issn 2521-9154
2521-9162
publishDate 2007-03-01
description A theoretical study is performed to determine the turbulent Prandtl number (Prt ) for liquids of wide range of molecular Prandtl number (Pr=1 to 600) under turbulent flow conditions of Reynolds number range 10000- 100000 by analysis of experimental momentum and heat transfer data of other authors. A semi empirical correlation for Prt is obtained and employed to predict the heat transfer coefficient for the investigated range of Re and molecular Prandtl number (Pr). Also an expression for momentum eddy diffusivity is developed. The results revealed that the Prt is less than 0.7 and is function of both Re and Pr according to the following relation: Prt=6.374Re-0.238 Pr-0.161 The capability of many previously proposed models of Prt in predicting the heat transfer coefficient is examined. Cebeci [1973] model is found to give good accuracy when used with the momentum eddy diffusivity developed in the present analysis. The thickness of thermal sublayer decreases with Reynolds number and molecular Prandtl number.
topic Turbulent Flow
Heat Transfer oefficient
url https://nahje.com/index.php/main/article/view/486
work_keys_str_mv AT basimohasan turbulentprandtlnumberanditsuseinpredictionofheattransfercoefficientforliquids
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