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Computational Thermal Sciences: An International Journal

Publication de 6  numéros par an

ISSN Imprimer: 1940-2503

ISSN En ligne: 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

ENTROPY-BASED THERMAL HYDRAULIC PERFORMANCES FOR MICROCHANNEL HEAT SINKS COMBINED WITH RIBS AND CAVITIES

Volume 10, Numéro 1, 2018, pp. 67-87
DOI: 10.1615/ComputThermalScien.2017021483
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RÉSUMÉ

Two microchannel heat sinks combined with ribs and cavities were numerically investigated and their comprehensive performance analyzed. To study the relationship among thermal resistance and pumping power, geometric parameters, and entropy generation rate, three different nondimensional variables were adopted that represented width, height, and spacing, respectively, of ribs and cavities. The entropy generation rate included that of heat transfer and flow friction. The entropy generation rate due to heat transfer was levels of magnitude higher than that of flow friction, especially under lower Reynolds numbers, and the value of the entropy generation rate due to fluid friction was very small. We found that microchannel heat sinks combined with ribs and cavities resulted in significant heat-transfer enhancement and a greater drops in pressure. We concluded that the geometric parameters of ribs and cavities significantly influence performance of microchannel heat sinks, and the value of rib and cavity width has no obvious effect on entropy generation rate. Finally, greater Reynolds numbers and greater rib and cavity heights led to tremendous increases in the entropy generation rate due to fluid friction.

CITÉ PAR
  1. Song Jian, Liu Fei, Sui Yi, Jing Dalei, Numerical studies on the hydraulic and thermal performances of trapezoidal microchannel heat sink, International Journal of Thermal Sciences, 161, 2021. Crossref

  2. A Rajalingam, Chakraborty Shubhankar, Effect of shape and arrangement of micro-structures in a microchannel heat sink on the thermo-hydraulic performance, Applied Thermal Engineering, 190, 2021. Crossref

  3. Lau G.E., Mohammadpour J., Lee A., Cooling performance of an impinging synthetic jet in a microchannel with nanofluids: An Eulerian approach, Applied Thermal Engineering, 188, 2021. Crossref

  4. Keklikcioglu Orhan, Ozceyhan Veysel, Heat transfer augmentation in a tube with conical wire coils using a mixture of ethylene glycol/water as a fluid, International Journal of Thermal Sciences, 171, 2022. Crossref

  5. Ali Abdullah Masoud, Angelino Matteo, Rona Aldo, Numerical analysis on the thermal performance of microchannel heat sinks with Al2O3 nanofluid and various fins, Applied Thermal Engineering, 198, 2021. Crossref

  6. Mieczkowski Mateusz, Furmański Piotr, Łapka Piotr, Optimization of a microchannel heat sink using entropy minimization and genetic aggregation algorithm, Applied Thermal Engineering, 191, 2021. Crossref

  7. Gao Yuping, Feng Ye, Tang Ke, Hrnjak Pega, Experimental study on forced convection hydraulic and thermal characteristics in a dimpled flat duct, Applied Thermal Engineering, 181, 2020. Crossref

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