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Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations

Heat transfer coefficient as an important characteristic in heat exchanger design is determined by the correlation developed from previous experimental work or accumulation of published data. Although discrepancies still exist between the existing correlations and practical data, several researchers...

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Main Authors:	Mohd. Yunos, Yushazaziah, Mohd. Ghazali, Normah, Mohamad, Maziah, Pamitran, Agus Sunjarianto, Oh, Jong Taek
Format:	Article
Published:	World Scientific Publishing Co. Pte Ltd 2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/85635/ http://dx.doi.org/10.1142/S2010132518500013
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id	my.utm.85635
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spelling	my.utm.856352020-07-07T05:00:04Z http://eprints.utm.my/id/eprint/85635/ Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations Mohd. Yunos, Yushazaziah Mohd. Ghazali, Normah Mohamad, Maziah Pamitran, Agus Sunjarianto Oh, Jong Taek TJ Mechanical engineering and machinery Heat transfer coefficient as an important characteristic in heat exchanger design is determined by the correlation developed from previous experimental work or accumulation of published data. Although discrepancies still exist between the existing correlations and practical data, several researchers claimed theirs as a generalized heat transfer correlation. Through optimization method, this study predicts the heat transfer coefficient of two-phase flow of propane in a small channel at the saturation temperature of 10°C using two categories of correlation - superposition and asymptotic. Both methods consist of the contribution of nucleate boiling and forced convective heat transfer, the mechanisms that contribute to the total two-phase heat transfer coefficient, which become as two objective functions to be maximized. The optimization of experimental parameters of heat flux, mass flux, channel diameter and vapor quality is done by using genetic algorithm within a range of 5-20kW/m2, 100-250kg/m2s, 1.5-3mm and 0.009-0.99, respectively. In the result, the selected correlations under optimized condition agreed on the dominant mechanism at low and high vapor qualities are caused by the nucleate boiling and forced convective heat transfer, respectively. The optimization work served as an alternative approach in identifying optimized parameters from different correlations to achieve high heat transfer coefficient by giving a fast prediction of parameter range, particularly for the investigation of any new refrigerant. In parallel with some experimental works, a quick prediction is possible to reduce time and cost. From the four selected generalized correlations, Bertsch et al. show the closer trend with the reference experimental work until vapor quality of 0.6. World Scientific Publishing Co. Pte Ltd 2018-03 Article PeerReviewed Mohd. Yunos, Yushazaziah and Mohd. Ghazali, Normah and Mohamad, Maziah and Pamitran, Agus Sunjarianto and Oh, Jong Taek (2018) Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations. International Journal of Air-Conditioning and Refrigeration, 26 (1). p. 1850001. ISSN 2010-1325 http://dx.doi.org/10.1142/S2010132518500013
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Mohd. Yunos, Yushazaziah Mohd. Ghazali, Normah Mohamad, Maziah Pamitran, Agus Sunjarianto Oh, Jong Taek Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
description	Heat transfer coefficient as an important characteristic in heat exchanger design is determined by the correlation developed from previous experimental work or accumulation of published data. Although discrepancies still exist between the existing correlations and practical data, several researchers claimed theirs as a generalized heat transfer correlation. Through optimization method, this study predicts the heat transfer coefficient of two-phase flow of propane in a small channel at the saturation temperature of 10°C using two categories of correlation - superposition and asymptotic. Both methods consist of the contribution of nucleate boiling and forced convective heat transfer, the mechanisms that contribute to the total two-phase heat transfer coefficient, which become as two objective functions to be maximized. The optimization of experimental parameters of heat flux, mass flux, channel diameter and vapor quality is done by using genetic algorithm within a range of 5-20kW/m2, 100-250kg/m2s, 1.5-3mm and 0.009-0.99, respectively. In the result, the selected correlations under optimized condition agreed on the dominant mechanism at low and high vapor qualities are caused by the nucleate boiling and forced convective heat transfer, respectively. The optimization work served as an alternative approach in identifying optimized parameters from different correlations to achieve high heat transfer coefficient by giving a fast prediction of parameter range, particularly for the investigation of any new refrigerant. In parallel with some experimental works, a quick prediction is possible to reduce time and cost. From the four selected generalized correlations, Bertsch et al. show the closer trend with the reference experimental work until vapor quality of 0.6.
format	Article
author	Mohd. Yunos, Yushazaziah Mohd. Ghazali, Normah Mohamad, Maziah Pamitran, Agus Sunjarianto Oh, Jong Taek
author_facet	Mohd. Yunos, Yushazaziah Mohd. Ghazali, Normah Mohamad, Maziah Pamitran, Agus Sunjarianto Oh, Jong Taek
author_sort	Mohd. Yunos, Yushazaziah
title	Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
title_short	Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
title_full	Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
title_fullStr	Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
title_full_unstemmed	Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
title_sort	prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
publisher	World Scientific Publishing Co. Pte Ltd
publishDate	2018
url	http://eprints.utm.my/id/eprint/85635/ http://dx.doi.org/10.1142/S2010132518500013
_version_	1672610562294415360
score	13.211869

Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations

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