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Computational Thermal Sciences: An International Journal

年間 6 号発行

ISSN 印刷: 1940-2503

ISSN オンライン: 1940-2554

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: 1.5 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 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: 0.3 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: 0.00017 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: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

THERMAL CONDUCTIVITY ENHANCEMENT OF PCMS FOR AUTOMOTIVE THERMAL ENERGY STORAGE APPLICATIONS: EXPERIMENTAL AND NUMERICAL INVESTIGATIONS

巻 6, 発行 4, 2014, pp. 329-339
DOI: 10.1615/.2014010938
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要約

This study focuses on the evaluation of the equivalent thermal conductivity of a composite material comprising a phase change material (PCM) and periodic aluminum fins. This composite is a part of a heat accumulator. The evolution of the thermal conductivity with the fin volume fraction was studied through experimental measurements and numerical simulations. Two numerical models were developed on the basis of the resolution of 2D heat transfer equations with the finite volume method in order to determine the impact of the fin volume fraction on the thermal conductivity of the medium. In the first model, fins and PCM were modeled, while in the second model, the fins were not directly simulated but taken into account in terms of equivalent conductivity. A prototype was evaluated on a test bench in order to calibrate the equivalent conductivity and validate the modeling. A numerical parametric study was performed and showed that the equivalent conductivity can increase up to 150 times the PCM conductivity with a better distribution of the fins in the PCM. A correlation of the PCM equivalent thermal conductivity as a function of fin pitch is given for a range of aluminum volume fractions from 0 to 65%.

によって引用された
  1. Lissner Michael, Tissot Julien, Leducq Denis, Azzouz Kamel, Fournaison Laurence, Performance study of latent heat accumulators: Numerical and experimental study, Applied Thermal Engineering, 102, 2016. Crossref

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