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Computational Thermal Sciences: An International Journal

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ISSN Печать: 1940-2503

ISSN Онлайн: 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

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EXOTHERMICALLY REACTING OF NON-NEWTONIAN FLUID FLOW OVER A PERMEABLE NONLINEAR STRETCHING VERTICAL SURFACE WITH HEAT AND MASS FLUXES

Том 9, Выпуск 4, 2017, pp. 283-296
DOI: 10.1615/ComputThermalScien.2017020298
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Краткое описание

This paper reports the mathematical model of the heat and mass transfer in a non-Newtonian fluid flow through a permeable nonlinear stretching vertical wall in the presence of such effects as exothermically reacting, heat generation/absorption, thermal radiation, and heat and mass fluxes. A similarity transformation is used to reduce the controlling partial differential equations (PDEs) into ordinary ones, which are solved numerically by an efficient numerical shooting technique with a fourth-fifth order Runge–Kutta method. Numerical results for the temperature and concentration profiles as well as for the local skin friction, Nusselt number, and Sherwood number are obtained and depicted graphically for different parametric conditions to illustrate interesting aspects of the solution. It is found that the source parameter enhances the distribution at all points, and heavier species cause a lower concentration level near the concentration boundary layer.

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