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ISSN 打印: 2152-5102

ISSN 在线: 2152-5110

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: 1.1 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: 1.3 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: 0.0002 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: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

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Lattice Boltzmann Simulation of Natural Convection in an Inclined Heated Cavity Partially Using Cu/Water Nanofluid

卷 39, 册 4, 2012, pp. 348-372
DOI: 10.1615/InterJFluidMechRes.v39.i4.50
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摘要

In this paper effect of heated side wall partially and inclination on natural convection flow in a cavity has been analyzed with Lattice Boltzmann Method (LBM) using Cu/water nanofluid. The middle place of partial cooled wall varied from y = L/4 to 3L/4 whereas place of high temperature side wall is fixed at center. Study has been conducted for different Rayleigh numbers (Ra) 103 to 105 and volume fraction changes between 0 and 15 % while inclined angle grow from 0° to 60° with interval 30°. This research was compared against past studies and showed a good agreement. The comparisons show that the average Nusselt number increases with growth of Rayleigh number and volume fraction for all of the states. The effect of nanoparticles augments by increment of inclination angles at each case and the best case for heat transfer observed middle-middle case so middle-bottom case is the weakest at this property.

对本文的引用
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  18. Sajjadi H., Mohammadifar H., Amiri Delouei A., Investigation of the effect of the internal heating system position on heat transfer rate utilizing Cu/water nanofluid, Journal of Thermal Analysis and Calorimetry, 139, 3, 2020. Crossref

  19. Hajatzadeh Pordanjani Ahmad, Aghakhani Saeed, Karimipour Arash, Afrand Masoud, Goodarzi Marjan, Investigation of free convection heat transfer and entropy generation of nanofluid flow inside a cavity affected by magnetic field and thermal radiation, Journal of Thermal Analysis and Calorimetry, 137, 3, 2019. Crossref

  20. Alsarraf Jalal, Shahsavar Amin, Khaki Mahsa, Ranjbarzadeh Ramin, Karimipour Arash, Afrand Masoud, Numerical investigation on the effect of four constant temperature pipes on natural cooling of electronic heat sink by nanofluids: A multifunctional optimization, Advanced Powder Technology, 31, 1, 2020. Crossref

  21. Rostami Sara, Aghakhani Saeed, Hajatzadeh Pordanjani Ahmad, Afrand Masoud, Cheraghian Goshtasp, Oztop Hakan F., Shadloo Mostafa Safdari, A Review on the Control Parameters of Natural Convection in Different Shaped Cavities with and without Nanofluid, Processes, 8, 9, 2020. Crossref

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