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Heat Transfer Research

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ISSN Печать: 1064-2285

ISSN Онлайн: 2162-6561

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: 1.7 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: 1.4 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: 0.6 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: 0.00072 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: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

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HEAT TRANSFER IN MAGNETITE (Fe3O4) NANOPARTICLES SUSPENDED IN CONVENTIONAL FLUIDS: REFRIGERANT-134A (C2H2F4), KEROSENE (C10H22), AND WATER (H2O) UNDER THE IMPACT OF DIPOLE

Том 51, Выпуск 3, 2020, pp. 217-232
DOI: 10.1615/HeatTransRes.2019029919
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In this article, theoretical investigation has been performed to explore the heat transport characteristics of a magnetic nano-fluid (ferrofluid) with dipole field impact. We considered magnetite (Fe3O4) nanoparticles suspended in three base fluids such as kerosene (C10H22), Refrigerant-134a (C2H2F4), and water (H2O). Magnetic dipole is of importance as it controls the momentum and thermal boundary layer region. Also characterization of magnetothermomechanical (ferrohydrodynamic) interaction decelerates the motion of the fluid as compared to the hydrodynamic case. Governing flow problem is normalized into ordinary differential equation by adopting the similarity transform procedure and thereafter solving by an effective shooting algorithm. Flow is generated due to a linearly porous stretched surface. Impact of involved constraints, namely, ferromagnetic parameter, suction, porosity, slip, and volume concentration of nanoparticle on friction factor and heat transfer rate are explained by graphs and tables. From the results we infer that the influence of ferrohydrodynamics is to flatten the velocity profile, whereas the decreasing effect is seen for the temperature profile for large values of nanoparticle volume fraction. Also it is shown that the Nusselt number is higher for the case of Refrigerant-134a for large values of concentration of nanoparticles.

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