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Heat Transfer Research

年間 18 号発行

ISSN 印刷: 1064-2285

ISSN オンライン: 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

HEAT AND MASS TRANSFER BOUNDARY-LAYER FLOW OVER A VERTICAL CONE THROUGH POROUS MEDIA FILLED WITH A Cu–WATER AND Ag–WATER NANOFLUID

巻 49, 発行 2, 2018, pp. 119-143
DOI: 10.1615/HeatTransRes.2017016247
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要約

In this paper, we have described the influence of thermal radiation and chemical reaction on boundary-layer flow, heat and mass transfer of two different nanofluids in a porous medium over a vertical cone with heat generation/absorption. In the present study, we have considered two varieties of nanofluids, namely, Cu–water and Ag–water nanofluids (with volume fraction 10% and 30%). The similarity variables are used to transform conservation equations for the nanofluid into a set of ordinary differential equations and are solved numerically subject to the boundary conditions using well-organized, extensively authorized, variational finite element method. The correctness of the present numerical code is validated with previously published data, and the results are found to be in good agreement. The sway of important nondimensional parameters of velocity, temperature, and nanoparticle concentration fields as well as the skin friction coefficient, Nusselt number, and Sherwood number are examined in detail, and the results are shown graphically and in a tabular form to illustrate the physical importance of the problem. The thermal boundary-layer thickness is raised in the entire flow region as the volume fraction of nanoparticles increased from 10% to 30%, and this rise in the temperature profiles is more in the Ag–water nanofluid than in the Cu–water nanofluid.

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