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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-FLUID MODELING OF A VISI-COOLER

巻 2, 発行 4, 2010, pp. 359-370
DOI: 10.1615/ComputThermalScien.v2.i4.60
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要約

The steady state thermofluid behavior of a visi-cooler has been mathematically modeled using a distributed parameter technique for R-12 and R-134a/R-290/R-600a mixtures. The pressure drop in condenser and evaporator tubes, pressure-volume diagram, temperature glide, compressor power, and per day energy consumption for various operating conditions have been extracted. Experiments also have been conducted for both the refrigerants for similar operating conditions. The simulation revealed that a mixture of R-134a, R-290, and R-600a with mass percentage of 91%, 4.068%, and 4.932%, respectively, is more efficient than R-12 in all performance aspects. The deviation of experimental results from the simulated values is observed to be within ±12%. The experiments also showed that the percentage reduction in the per day energy consumption with the mixture is between 10.8% and 19.6% for the tested conditions.

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