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Journal of Enhanced Heat Transfer

Publicado 8 números por año

ISSN Imprimir: 1065-5131

ISSN En Línea: 1563-5074

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: 2.3 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: 1.8 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: 0.2 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: 0.00037 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: 0.6 SJR: 0.433 SNIP: 0.593 CiteScore™:: 4.3 H-Index: 35

Indexed in

OPTIMIZATION STUDY OF ARTIFICIAL CAVITIES ON SUBCOOLED FLOW BOILING PERFORMANCE OF WATER IN A HORIZONTAL SIMULATED ENGINE COOLING PASSAGE

Volumen 26, Edición 1, 2019, pp. 37-57
DOI: 10.1615/JEnhHeatTransf.2018026896
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SINOPSIS

The surface morphology of engine cooling passage plays an essential role in heat transfer; particularly, the mechanism for its enhanced effect on boiling heat transfer is still not fully understood. Thus in this paper, the volume of fluid (VOF) model was developed to simulate the subcooled flow boiling on the heating surface with different cavity configurations in a horizontal simulated cooling passage under engine-like conditions. The calculated results of heat flux of the heating surface with artificial cylindrical cavities were found to be larger than those of the plain surface. The void fraction and velocity distributions in the cavities were depicted to explore the enhancement mechanism of the heat transfer. The approximation model of the heat flux with the average error of 4.5% and R2 of 0.963 was established by using response surface methodology. The effects of geometric parameters (such as cavity spacing, cavity diameter, and cavity depth) on the heat flux were quantitatively discussed. The results show that the cavity depth has the most significant effect on transferred heat flux in comparison with other design variables. Finally, the optimal structural design and arrangement of artificial cavities were acquired using the Adaptive Simulated Annealing (ASA) algorithm. The heat flux with the optimized cavities was approximately 24% higher than that of the original plain heating surface.

CITADO POR
  1. Saha Sujoy Kumar, Ranjan Hrishiraj, Emani Madhu Sruthi, Bharti Anand Kumar, Flow Boiling Enhancement Techniques, in Two-Phase Heat Transfer Enhancement, 2020. Crossref

  2. Mousavi Ajarostaghi Seyed Soheil, Zaboli Mohammad, Javadi Hossein, Badenes Borja, Urchueguia Javier F., A Review of Recent Passive Heat Transfer Enhancement Methods, Energies, 15, 3, 2022. Crossref

  3. Hammoodi Karrar A., Hasan Hadeel Ali, Abed Muntadher H., Basem Ali, Al-Tajer Ammar M., Control of heat transfer in circular channels using oblique triangular ribs, Results in Engineering, 15, 2022. Crossref

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