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Heat Transfer Research

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ISSN Druckformat: 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

NANOPARTICLE VOLUME FRACTION OPTIMIZATION FOR EFFICIENT HEAT TRANSFER AND HEAT FLOW PROBLEMS IN A NANOFLUID

Volumen 49, Ausgabe 8, 2018, pp. 761-771
DOI: 10.1615/HeatTransRes.2018019795
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ABSTRAKT

The main purpose of this paper is optimization of the nanoparticle volume fraction in a boundary layer flow, beneath a uniform free stream permeable continuous moving surface in a nanofluid. First, a theoretical relation between the nanoparticle volume fraction and the velocity profile has been obtained. Then the optimization of the volume fraction for the Ag, Cu, and CuO nanoparticles is studied. Finally, a combination of several nanoparticles is considered and the corresponding optimization problem is analyzed. As it turns out, one can use a right combination of several nanoparticles to ensure a more efficient heat transfer with a lower operational cost.

REFERENZIERT VON
  1. Chaharborj Sarkhosh S., Amin Norsarahaida, Zhang Jie, Controlling the pressure of hydrogen-natural gas mixture in an inclined pipeline, PLOS ONE, 15, 2, 2020. Crossref

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