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Computational Thermal Sciences: An International Journal

Publicou 6 edições por ano

ISSN Imprimir: 1940-2503

ISSN On-line: 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

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THERMO-HYDRAULIC NETWORK MODEL FOR PASSIVE COOLING OF A SUBSEA VARIABLE-SPEED DRIVE

Volume 11, Edição 1-2, 2019, pp. 81-93
DOI: 10.1615/ComputThermalScien.2018024517
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RESUMO

Subsea factories are expected to play an important role in future oil production. Cooling of the necessary power converters in a deep-sea environment is a great challenge. Because of their high reliability, passive cooling systems that rely on natural convection of the oil within the converter tank and the seawater around it are preferred. In this paper, we present a numerical code for one-dimensional (1D) network models of natural-convection cooling specifically developed for subsea converters. Network elements are provided to model converter components such as semiconductor modules mounted on oil-cooled heat sinks. For spatial discretization, the finite-volume method is used, and the resulting set of nonlinear equations is solved in MATLAB. Measurements of natural-convection cooling of semiconductor heat sinks immersed in an oil-filled tub are presented, and 1D network models are set up to simulate this case. The numerical convergence is verified and the temperatures are compared. The comparison yields the first experimental confirmation of the model and demonstrates the importance of buoyancy corrections in the flow between the fins of heat sinks. Further experiments will be needed to gain experience with the model and refine it as necessary.

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