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Heat Transfer Research

Publicado 18 números por año

ISSN Imprimir: 1064-2285

ISSN En Línea: 2162-6561

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: 1.7 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: 1.4 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: 0.6 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: 0.00072 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: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

Indexed in

Numerical Study of Conjugated Heat Transfer in a Thick Walled Tube Subjected to a Nanofluid

Volumen 42, Edición 7, 2011, pp. 655-675
DOI: 10.1615/HeatTransRes.2012001712
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SINOPSIS

In this paper, a numerical analysis is carried out to study the performance of conjugated convection−conduction heat transfer in a fin and thick-walled U-shaped tube heat exchanger subjected to a nanofluid. This geometry is mainly adopted for the aim of heating the chamber of Oghab Afshan bus (SCANIA). The problem is considered as two-dimensional, whereas the fins are treated as a one-dimensional conduction problem because of small thickness. So, the governing equations are derived based on the conceptual model in the Cartesian and polar coordinate systems for direct and bent paths, respectively. Then the governing equations have been approximated by means of a fully implicit finite volume control method (FVM). The effect of some geometrical variables and also the effect of applying various nanoparticles (a suspension of TiO3, Al2O3, and Cu nanoparticles in water) on the heat transfer and flow characteristic have been investigated. The results indicate that the lowest and greatest values of the Nusselt number are obtained for TiO3-water and Cu-water nanofluids, respectively.

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