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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

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MIXED CONVECTION AND ENTROPY GENERATION OF A NANOFLUID FILLED CAVITY WITH A CORNER PARTITION AND FLEXIBLE WALL

卷 45, 册 3, 2018, pp. 237-253
DOI: 10.1615/InterJFluidMechRes.2018022470
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摘要

In this study, the effects of a conductive corner partition and flexible sidewall in a CuO-water nanofluid-filled liddriven square enclosure on mixed convective heat transfer were numerically examined using the finite element method. The top wall of the square cavity is moving with constant speed and the bottom wall of the cavity is heated. The side wall is made flexible. The effects of the Richardson number (between 0.01 and 20), elastic modulus of the flexible wall (between 103 and 105), size of the corner partition (between 0 and 0.6), and solid particle volume fraction (between 0 and 0.05) on the fluid flow, heat transfer characteristics and entropy generation rate were numerically investigated. It was observed that local and average heat transfer enhances for higher values of the Richardson number, elastic modulus of the flexible wall and solid particle volume fraction of the nanoparticles. An average heat transfer enhancement of 38.34% was obtained when the elastic modulus of the flexible wall was reduced from 105 to 103, and 32.10% of the average Nusselt number enhancement was obtained for 5% nanoparticle addition to the base fluid. The presence of the conductive corner partition deteriorated the local and average heat transfer, and average heat transfer reduction for 23.78% of was observed for a partition size of 0.6. Entropy generation rates for the fluid domain and solid domain of the conductive partition were found to be affected by the variation of those parameters.

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