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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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EXPLORATION OF CONVECTIVE HEAT TRANSFER AND FLOW CHARACTERISTICS SYNTHESIS BY Cu–Ag/WATER HYBRID-NANOFLUIDS

Том 49, Выпуск 18, 2018, pp. 1837-1848
DOI: 10.1615/HeatTransRes.2018025569
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Краткое описание

The present study deals with convective heat transfer performance and fluid flow characteristics of Cu–Ag/water hybrid nanofluids. A geometric model of an inverted cone is used. The mathematical model consists of nonlinear governing equations along with associated boundary conditions reduced to a nondimensional form by using appropriate transformation, Boussinesq and boundary-layer approximations. Analytical solutions are obtained for velocity and temperature profiles. The convergence analysis and error of norm 2 are also presented to check the validity of the results. The effects of nanoparticles volume fraction, hybrid nanoparticles compactness ratio on velocity, temperature, thermophysical properties, convective heat transfer coefficient, and skin friction coefficient are illustrated in graphical and tabular form. A comparison of hybrid nanofluid with single material nanofluids is also made and it is realized that the hybrid nanofluid has greater thermal conductivity and improved convective heat transfer characteristics as compared to the base fluid and nanofluids. The proposed model can help in designing a way to accelerate and mix liquids in the chemical industry.

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