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Computational Thermal Sciences: An International Journal

Publicado 6 números por año

ISSN Imprimir: 1940-2503

ISSN En Línea: 1940-2554

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: 1.5 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 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: 0.3 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: 0.00017 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: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

NUMERICAL MODELING AND PERFORMANCE INVESTIGATION FOR COMPACT HEAT EXCHANGERS IN DIFFERENT FIN ARRANGEMENT AND FLUID FLOW CONDITIONS

Volumen 8, Edición 5, 2016, pp. 469-482
DOI: 10.1615/ComputThermalScien.2016017941
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SINOPSIS

This paper presents a computational fluid dynamics (CFD) parametric study to investigate the effect of various parameters such as the fin arrangement (or spacing) and the inlet flow conditions (velocity and temperature) on the performance of compact finned-tube heat exchangers, which can be found in many HVAC industrial applications. In the present study, the heat exchanger's performance is expressed in terms of heat transfer and pressure drop. Both heat transfer and pressure drop are presented here in dimensionless forms; the Nusselt number and the pressure coefficient. An additional factor, the ratio of the Colburn factor to friction factor, combining the effects of the heat transfer and the pressure drop, is also presented to complete the performance assessment. Several CFD cases were studied using a commercial software package for the investigation of flow and thermal behavior in the heat exchanger under various modeling conditions. To ensure accurate numerical results, grid independence analysis and model validation against previously published experimental data were performed. Using the results generated from the CFD cases, two useful mathematical correlations were developed and presented in the dimensionless form. These correlations can be used to predict the performance of typical heat exchangers.

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