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Heat Transfer Research

Published 18 issues per year

ISSN Print: 1064-2285

ISSN Online: 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

Indexed in

HEAT TRANSFER ENHANCEMENT IN MICROCHANNELS BY UTILIZING THE Al2O3−WATER NANOFLUID

Volume 43, Issue 8, 2012, pp. 695-707
DOI: 10.1615/HeatTransRes.2012005762
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ABSTRACT

Heat transfer enhancement by utilizing nanofluids in a microchannel flow is investigated for specific flow regimes and boundary conditions. Accompanied with the slip velocity and jump temperature boundary conditions, the governing mass, momentum, and energy equations for a nanofluid flow inside a microchannel have been discretized using the characteristic finite element method. The above equations are improved and solved taking into account the particle dispersion and anomalous diffusion due to the particle random motion. Based on theoretical models and experimental correlations, the thermal conductivity and viscosity coefficients required for simulation were used. Based upon numerical simulations, the effects of Reynolds number and the volume fraction of nanoparticles on heat transfer from the channel walls are presented. Simulated results shows reasonably good agreement with the previous numerical and experimental data. An obvious increase in the averaged Nusselt number is found for the nanofluid. The results provide insight into the statement that nanoparticles can increase the rate of heat transfer in microchannels.

CITED BY
  1. Guo Yufeng, Zhang Tongtong, Zhang Dongrui, Wang Qi, Experimental investigation of thermal and electrical conductivity of silicon oxide nanofluids in ethylene glycol/water mixture, International Journal of Heat and Mass Transfer, 117, 2018. Crossref

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