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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

Numerical Study of Turbulent Flow and Heat Transfer in Micro-Fin Tubes – Part 1, Model Validation

Volume 8, Numéro 5, 2001, pp. 291-304
DOI: 10.1615/JEnhHeatTransf.v8.i5.10
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RÉSUMÉ

Single-phase heat transfer and friction losses were numerically predicted for micro fin tubes using the commercial CFD program, Fluent. Friction losses were predicted for five tube geometries, for which experimental data were available. The predicted friction factor was within +13% to −9% of the experimental values. The heat transfer simulation was done for only one tube geometry with helix angle of 17.5 degrees. The simulation was carried out for 1 < Pr < 4. The Nusselt number was over predicted, ranging from 29% to 55% as the Prandtl number was increased from 1 to 4.

CITÉ PAR
  1. Wang Qiu-Wang, Lin Mei, Zeng Min, Tian Lin, Investigation of Turbulent Flow and Heat Transfer in Periodic Wavy Channel of Internally Finned Tube With Blocked Core Tube, Journal of Heat Transfer, 130, 6, 2008. Crossref

  2. Goldstein R.J, Eckert E.R.G, 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, Heat transfer––a review of 2001 literature, International Journal of Heat and Mass Transfer, 46, 11, 2003. Crossref

  3. Mann Garrett W., Eckels Steven, Multi-objective heat transfer optimization of 2D helical micro-fins using NSGA-II, International Journal of Heat and Mass Transfer, 132, 2019. Crossref

  4. Saha Sujoy Kumar, Ranjan Hrishiraj, Emani Madhu Sruthi, Bharti Anand Kumar, Convective Condensation, in Two-Phase Heat Transfer Enhancement, 2020. Crossref

  5. Li Puxuan, Campbell Matthew, Zhang Ning, Eckels Steve J., Investigation of Relationship Between Flow Structures and Drag Forces on Microfin Enhanced Surfaces Using Large Eddy Simulations, Journal of Fluids Engineering, 144, 10, 2022. Crossref

  6. Soleimani Shima, Eckels Steven, Campbel Matthew, Parametric study and application of a data-mining model in 2D and 3D micro-fin tubes, Applied Thermal Engineering, 207, 2022. Crossref

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