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Computational Thermal Sciences: An International Journal

Publicou 6 edições por ano

ISSN Imprimir: 1940-2503

ISSN On-line: 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

DARCY MIXED CONVECTION IN A POROUS SQUARE ENCLOSURE UNDER SUCTION/INJECTION EFFECTS WITH SINUSOIDALLY VARYING TEMPERATURE ON THE LEFT VERTICAL WALL

Volume 5, Edição 6, 2013, pp. 473-487
DOI: 10.1615/ComputThermalScien.2013003176
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RESUMO

In this paper the problem of fully developed mixed convection flow in a two-dimensional square porous enclosure with suction/injection effects at bottom/top or top/bottom is considered. The free convection is induced by the sinusoidally varying temperature on the left vertical wall. The coupled nonlinear partial differential equations governing the Darcy mixed convection process are solved numerically by the finite element method. The numerical computations are carried out for a wide range of governing parameters such as Rayleigh number (Ra), suction/injection velocity (α), suction/injection window width (D/H), and amplitude (A) of the sinusoidally varying temperature profile. Flow field and temperature distribution are analyzed through streamlines, isotherms, and local/cumulative heat flux plots. While the bottom injection and top suction (BITS) model favors heat transfer with increasing D/H and A the opposite happens with the top injection and bottom suction (TIBS) model. However, both models favor heat transfer with increasing Ra and α.

CITADO POR
  1. Nield Donald A., Bejan Adrian, Mixed Convection, in Convection in Porous Media, 2017. Crossref

  2. M. Pavan Kumar Reddy, J. V. Ramana Murthy, Entropy analysis for heat transfer in a rectangular channel with suction, Heat Transfer-Asian Research, 48, 7, 2019. Crossref

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