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国际流体力学研究期刊

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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

Indexed in

Effectiveness and Economic for Using Ag-Nanoparticles in Porous Media inside Enclosure with Present Heat Generation and Magnetic Field under Natural Convection Conditions

卷 42, 册 6, 2015, pp. 485-508
DOI: 10.1615/InterJFluidMechRes.v42.i6.20
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摘要

In the present study, the effect of the magnetic field and the heat generation on the effectiveness and the economics of using Ag-nanoparticles in porous media under a natural convection with heat flux is studied numerically using finite element method. Four different enclosure shapes are studied. The uniform heat flux is applied partly at the base wall. The vertical or sloped walls are maintained at a constant cold temperature. New criteria are used to evaluate the effectiveness of using nanoparticles depending on the nanoparticles cost and the heat transfer. The results are based on visualization of heat flow via isotherms, heatfunctions and Nusselt number; fluid flow via streamfunctions; and irreversibility via Bejan number. Comparisons with previous published works are performed and the results are found in a good agreement. The influence of main pertinent parameters is investigated, such as: Rayleigh number Ra = (104 ... 107), Hartmann number Ha = (0 ... 60), heat generation constant (λ = 1 and 10) and nanoparticles volume fraction Φ = (0 ... 0.15) on the flow, heat transfer and entropy generation for constant Darcy number Da = 10−4. The results show that the benefit of using nanoparticles on the system stability (effectiveness-Be) decreases as the n increases. Also, for most cases, the maximum cost-heat appears at λ = 0.05 and it reduces as nanoparticles volume fraction increases except for high Ra = 107. The results show at n = 0 (square cavity) and Ra = 104, the streamfunction of pure fluid increases 45.2 times between λ = 1 and 10, while at Ra = 107, the streamfunction of pure fluid increases 1.1 times.

对本文的引用
  1. Al-Zamily Ali Meerali Jasim, Analysis of natural convection and entropy generation in a cavity filled with multi-layers of porous medium and nanofluid with a heat generation, International Journal of Heat and Mass Transfer, 106, 2017. Crossref

  2. Ghasemi Kasra, Siavashi Majid, MHD nanofluid free convection and entropy generation in porous enclosures with different conductivity ratios, Journal of Magnetism and Magnetic Materials, 442, 2017. Crossref

  3. Abdulkadhim Ammar, Hamzah Hameed K., Ali Farooq H., Abed Azher M., Abed Isam Mejbel, Natural convection among inner corrugated cylinders inside wavy enclosure filled with nanofluid superposed in porous–nanofluid layers, International Communications in Heat and Mass Transfer, 109, 2019. Crossref

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