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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

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FLOW AND HEAT TRANSFER SIMULATION OF THREE DIFFERENT NANOFLUIDS IN A CAVITY WITH SINUSOIDAL BOUNDARY CONDITIONS UNDER THE INFLUENCE OF AN INCLINED MAGNETIC FIELD USING LBM: A PHASE DEVIATION APPROACH

Volumen 8, Edición 3, 2016, pp. 291-308
DOI: 10.1615/ComputThermalScien.2016017026
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SINOPSIS

In the present study, a nanofluid-filled cavity with sinusoidal temperature boundary condition under the influence of an inclined magnetic field was investigated numerically. The lattice Boltzmann method (LBM) was applied to simulate the nanofluid flow with water as the carrier fluid and for three different nanoparticle types: Al2O3, Cu, and TiO2. More than 1100 individual tests were carried out in this work to show the combined effect of the nanoparticles and magnetic field situations. It goes without saying that nanoparticles are meant to improve the heat transfer rate, because unlike the magnetic field they are not present in any system on their own, but they're added manually to enhance the Nusselt number. However, it is seen that in some magnetic situations (field intensity and direction) adding the volume fraction of nanoparticles cannot help the heat transfer increment. The flow and heat transfer behavior of these three nanofluids were observed for different Rayleigh numbers (103−106), Hartmann numbers (0−80), nanoparticle volume fraction (0−6%), magnetic field direction θ = 0−90°, and temperature boundary condition phase deviation γ = 0−90°. The results indicated that the influence of nanoparticles for this geometry and boundary conditions is highly dependent on the Rayleigh and Hartmann numbers. Although the magnetic field direction plays an unimportant role in lower Rayleigh numbers, the effects will become most significant for moderate Rayleigh numbers like 105.

CITADO POR
  1. Ahrar Amir Javad, Djavareshkian Mohammad Hassan, Computational investigation of heat transfer and entropy generation rates of Al2O3 nanofluid with Buongiorno's model and using a novel TVD hybrid LB method, Journal of Molecular Liquids, 242, 2017. Crossref

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