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Journal of Enhanced Heat Transfer

Publication de 8  numéros par an

ISSN Imprimer: 1065-5131

ISSN En ligne: 1563-5074

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: 2.3 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: 1.8 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: 0.2 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: 0.00037 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: 0.6 SJR: 0.433 SNIP: 0.593 CiteScore™:: 4.3 H-Index: 35

Indexed in

A REVIEW OF FULLY-DEVELOPED NUSSELT NUMBERS AND FRICTION FACTORS IN PIPES WITH 3-DIMENSIONAL ROUGHNESS

Volume 24, Numéro 1-6, 2017, pp. 469-488
DOI: 10.1615/JEnhHeatTransf.v24.i1-6.260
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RÉSUMÉ

A computer program based on the discrete element method has been developed and validated to compute friction factors and Nusselt numbers for thermally fully-developed turbulent flow in pipes with 3-dimensional roughness elements. Validation is achieved by comparing the computational results with accepted experimental data cited in the heat transfer literature. The predictions are in general in very good agreement with the experimental data and tend to confirm the predictive validity of the approach.

CITÉ PAR
  1. Saha Sujoy Kumar, Ranjan Hrishiraj, Emani Madhu Sruthi, Bharti Anand Kumar, Active and Passive Techniques: Their Applications, in Introduction to Enhanced Heat Transfer, 2020. Crossref

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