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Computational Thermal Sciences: An International Journal

年間 6 号発行

ISSN 印刷: 1940-2503

ISSN オンライン: 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

NATURAL CONVECTION IN A NANOFLUID-FILLED SQUARE CAVITY WITH AN ARC-SHAPED HEATED BAFFLE

巻 4, 発行 2, 2012, pp. 159-168
DOI: 10.1615/ComputThermalScien.2012004055
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要約

Buoyancy driven natural convection in a nanofluid-filled square cavity induced by an arc-shaped heated baffle is analyzed numerically. Upper and bottom walls of the cavity are insulated and the remaining two walls have constant temperature; their values are lower than the baffle's temperature. The calculations were performed for various values of Rayleigh number (104 « (Ra) « 106) dimensionless arc length (0.25 « S « 0.75), shape parameter of the baffle (π/4 « Θ « π), types of nanoparticles (Cu, Al2O3) in a wide range of solid volume fraction of nanoparticles (0 « φ « 0.15). It is found that the net heat transfer can be enhanced by increasing the Rayleigh number, baffle length, and shape parameter. As the baffle length is increased for a fixed Rayleigh number, the average Nusselt number increases and for a fixed baffle length when the Rayleigh numbers are increased, the average Nusselt number also increases. The addition of copper and alumina Nanoparticles has produced a remarkable enhancement of the heat transfer. The average Nusselt number increases with increasing solid volume fraction of nanoparticles, especially at low Rayleigh numbers. Adding Al2 O3 increases the heat transfer rate but the influence of adding Cu nanoparticles to pure water on the heat transfer rate is much more pronounced because of its higher value of thermal conductivity compared to Al2O3. The difference in the average Nusselt number using different nanoparticles is negligible at low solid volume fractions, but as the volume fraction of nanoparticles increases, the difference for the mean Nusselt number becomes larger. This is similar to results which were obtained by other authors.

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