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Heat Transfer Research

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ISSN Druckformat: 1064-2285

ISSN Online: 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

EFFECT OF LORENTZ FORCES ON NANOFLUID FLOW INSIDE A POROUS ENCLOSURE WITH A MOVING WALL USING VARIOUS SHAPES OF CuO NANOPARTICLES

Volumen 50, Ausgabe 7, 2019, pp. 697-715
DOI: 10.1615/HeatTransRes.2018023257
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ABSTRAKT

Forced convection of a nanofluid in a permeable enclosure with a moving wall is presented under the effect of Lorentz forces. The mathematical modeling is formulated with the help of a stream function. The control volume finite element method (CVFEM) has been used to determine the solutions of nonlinear coupled differential equations. Shape effects of nanoparticles (NPs) with Brownian motion impact are taken into account in the present flow problem. Graphical results are demonstrated for multiple values of Darcy number, CuO-water volume fraction, Reynolds number, and Hartmann number, respectively. Computational results depict that platelet-shaped nanoparticles have a higher rate of heat transfer. Convective heat transfer augments with increase in the Darcy and Reynolds numbers while it is reduced with increase of a magnetic field.

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