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Computational Thermal Sciences: An International Journal

Publication de 6  numéros par an

ISSN Imprimer: 1940-2503

ISSN En ligne: 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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HYDRODYNAMICS AND HEAT TRANSFER ANALYSIS OF NANOFLUID FLOW IN A CIRCULAR MICROCHANNEL BY SIMULATIONS

Volume 8, Numéro 2, 2016, pp. 193-208
DOI: 10.1615/ComputThermalScien.2016013798
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RÉSUMÉ

Water and its nanofluids with alumina (Al2O3) are used as the coolant fluid in a circular microchannel heat exchanger to justify the utility of a nanomaterial as a heat transfer enhancer using ANSYS Fluent 15.0. The 2D axis symmetric geometry with structured mesh and 100×18 nodes are used for single-phase flow with Al2O3 nanoparticles of 23 nm average diameter. Viscous laminar and standard k−ε models are used to predict the steady temperature in laminar and turbulent zones. The simulated heat transfer coefficient values in both laminar and turbulent zones have been compared with the published experimental values and very close agreement is observed statistically. Nanofluids increase the heat transfer coefficient by 15% and 12% in comparison to its base fluids in laminar and turbulent zones, respectively. The relation between heat transfer coefficient and thermal conductivity of nanofluids is proved. The entrance length for fully developed velocities and the increase in temperature depend on Re, with the latter also depending on Pe, but the temperature distribution is found to be independent of radial position even for very low Pe. The velocity contours at the outlet show that the wall effect penetrates more towards the center and the thickness of the zone with maximum velocity shrinks with increase in Re. With increase in Re, the temperature decreases and pressure drop increases. The velocity and wall and nanofluid temperatures calculated can also well predict the experimental data. The effect of Re, Pe, nanofluid concentrations, velocity, pressure, and temperature contours on the flow behavior of the microchannels was analyzed in laminar and turbulent cases.

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