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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

Simulation of the Limiting Enhancement of Heat Transfer in Tubes by Artificial Turbulization of a Flow for Different Heat Carriers with Constant and Variable Thermophysical Properties

Volume 36, Issue 4, 2005, pp. 331-341
DOI: 10.1615/HeatTransRes.v36.i4.70
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ABSTRACT

A theoretical model has been developed for calculating the limiting isothermal and nonisothermal values of resistance and heat transfer rate under the conditions of the enhancement of the latter in tubes by means of flow turbulization. The model describes the corresponding processes for a wide range of Reynolds and Prandtl numbers, which allows one to predict the reserves of heat transfer enhancement with a much higher accuracy than the methods available.

CITED BY
  1. Goldstein R.J., Ibele W.E., Patankar S.V., Simon T.W., Kuehn T.H., Strykowski P.J., Tamma K.K., Heberlein J.V.R., Davidson J.H., Bischof J., Kulacki F.A., Kortshagen U., Garrick S., Srinivasan V., Ghosh K., Mittal R., Heat transfer—A review of 2005 literature, International Journal of Heat and Mass Transfer, 53, 21-22, 2010. Crossref

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