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Journal of Enhanced Heat Transfer

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ISSN Druckformat: 1065-5131

ISSN Online: 1563-5074

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 2.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.8 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00037 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.6 SJR: 0.433 SNIP: 0.593 CiteScore™:: 4.3 H-Index: 35

Indexed in

Experimental Determination of Heat Transfer and Friction Correlations for Plate Fin-and-Tube Heat Exchangers

Volumen 11, Ausgabe 3, 2004, pp. 183-204
DOI: 10.1615/JEnhHeatTransf.v11.i3.10
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ABSTRAKT

This article presents a numerical method for determining correlation to predict the air-side heat transfer coefficient and friction factors as a function of the Reynolds number and geometric variables of the heat exchanger. The air-side heat transfer coefficients are determined from the condition that the calculated and measured outlet temperatures of the cooling liquid are equal. The presented method for thermal analysis of heat exchangers is based on the finite volume method. A nonlinear regression technique is used to correlate 18 sets of the automotive radiator data to develop the heat transfer and friction correlations. Two correlations for the air-side Nusselt number are presented. The first correlation is derived from experimental measurements, whereas the second one is based on the CFD simulation of 3D laminar flow in the heat exchanger. The empirical correlation gives smaller values of the Nusselt number. The maximum relative difference between the empirical correlation and the numerical results is about 16%.

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