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Computational Thermal Sciences: An International Journal

Publicado 6 números por año

ISSN Imprimir: 1940-2503

ISSN En Línea: 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

HEAT TRANSFER ENHANCEMENT OF UNIFORMLY/LINEARLY HEATED SIDE WALL IN A SQUARE ENCLOSURE UTILIZING ALUMINA−WATER NANOFLUID

Volumen 9, Edición 3, 2017, pp. 227-241
DOI: 10.1615/ComputThermalScien.2017019049
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SINOPSIS

A numerical study is carried out on natural convection flow of Al2O3-water nanofluid in a square cavity when the left wall is uniformly (or) linearly heated and the right wall is cooled whereas the top and bottom walls are well insulated. A computational code is developed based on the SIMPLE algorithm, and the finite volume method is used to solve the discretized equations. The Maxwell-Garnett and the Brinkman models are used to evaluate the nanofluid thermal conductivity and dynamic viscosity, respectively. Numerical results are presented in terms of the velocity profiles, stream functions, and isotherm contours, and the local and average Nusselt numbers for a wide range of the Rayleigh number Ra = 104 − 106 and the solid volume fraction (0 ≤ φ ≤ 0.2) at the Prandtl number Pr = 6.2. It is found that, for both cases of boundary conditions, the average Nusselt number increases as the volume fraction increases at a given Rayleigh number. That is, the heat transfer rate performance is improved by the addition of alumina nanoparticles in water. However, the overall heat transfer rate at the left wall for the linearly heated case is less than that for the uniformly heated case with the corresponding values of Ra and φ.

CITADO POR
  1. Martins M. M., Vaz M., Zdanski P. S. B., A note on a derivative scheme for the finite volume method applied to incompressible viscous fluid, Continuum Mechanics and Thermodynamics, 30, 4, 2018. Crossref

  2. Natesan Saritha, Arumugam Senthil Kumar, Analysis of double diffusion natural convection in an enclosure filled with alumina water nanofluid using Buongioro's two phase model, International Journal of Numerical Methods for Heat & Fluid Flow, 29, 10, 2019. Crossref

  3. Ibrahim Wubshet, Hirpho Mohammed, Finite element analysis of mixed convection flow in a trapezoidal cavity with non-uniform temperature, Heliyon, 7, 1, 2021. Crossref

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