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Computational Thermal Sciences: An International Journal

Publicado 6 números por año

ISSN Imprimir: 1940-2503

ISSN En Línea: 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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EXPERIMENTAL MEASUREMENTS AND COMPUTATIONAL SIMULATION (COMPUTATIONAL FLUID DYNAMICS) APPLIED FOR THERMAL ANALYSIS OF AN UNINTERRUPTIBLE POWER SUPPLY

Volumen 11, Edición 4, 2019, pp. 353-366
DOI: 10.1615/ComputThermalScien.2019025467
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SINOPSIS

The temperature field generated by the components of electronic devices has great influence on their cooling system design. Computational fluid dynamics simulation may be used to predict the airflow velocities and temperature without building thermal prototypes. It can greatly reduce the cost of engineering physical models and data acquisition equipment. However, the power density of actual systems is pushing the limits of the electronics cooling technology. In this sense, a high degree of accuracy of simulations applied to predict the airflow velocities and temperatures is expected, therefore obtaining a shorter development cycle by reducing or even eliminating the need for building prototypes. This study aims to demonstrate the reliability of the temperature field simulation of an uninterruptible power supply. The simulation focused on the transformer, because it dissipates the major heat flux, where approximately 80 W of power is generated on the laminated core. In order to ensure that the results are not mesh dependent, a study of the convergence was performed and presented. The findings demonstrate good agreement between measured and expected temperatures for the different component parts. The overall mean error between the simulation data and the experimental results is about 4%.

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CITADO POR
  1. Wu Jiawei, Han Xiaotao, Wang Huai, Electro-Thermal Modeling and Design of High-Current Pulse Power Supply for Electrically Assisted Manufacturing, IEEE Access, 7, 2019. Crossref

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