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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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NUMERICAL STUDY OF BUBBLE GROWTH AND HEAT TRANSFER IN MICROCHANNEL USING DYNAMIC CONTACT ANGLE MODELS

Volumen 12, Edición 1, 2020, pp. 41-54
DOI: 10.1615/ComputThermalScien.2020021272
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SINOPSIS

Numerical study is performed to investigate the bubble dynamics and heat transfer characteristics during flow boiling in a microchannel considering dynamic contact angle models reported in the literature. A two-dimensional domain is chosen where continuity, momentum, and energy equations are solved in two phases using the finite volume method-based semi-explicit pressure projection method. The unsteady bubble interface and bubble growth are identified by the dual-grid level-set method-based numerical model. The results suggest that the Kalliadasis and Chang model predicts the bubble growth closest to the experimental value and is more accurate compared to the static contact angle model. Furthermore, the effects of wall superheat and system pressure on bubble dynamics and heat transfer are studied. It is found that the system pressure and wall superheat have significant effects on the bubble growth characteristics. The transient Nusselt number shows a decreasing trend with the dynamic contact angle model similar to the static contact angle model.

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CITADO POR
  1. Siddique Ayyaz, Gb Arivazhagan, Agrawal Amit, Saha Sandip K., Sharma Atul, Study of bubble growth and microchannel flow boiling heat transfer characteristics using dynamic contact angle model, Thermal Science and Engineering Progress, 20, 2020. Crossref

  2. Goli Sandeep, Saha Sandip K., Agrawal Amit, Hydrothermal and Second Law Analyses of Fluid Flow in Converging-Diverging (Hourglass) Microchannel, Heat Transfer Engineering, 2022. Crossref

  3. Lin Yuhao, Li Junye, Luo Yang, Li Wei, Luo Xing, Kabelac Stephan, Cao Yanlong, Minkowycz W.J., Conjugate heat transfer analysis of bubble growth during flow boiling in a rectangular microchannel, International Journal of Heat and Mass Transfer, 181, 2021. Crossref

  4. Goli Sandeep, Saha Sandip K, Agrawal Amit, Study of hydrothermal transport phenomena and performance characteristics for a flow through a diamond (diverging-converging) microchannel, Thermal Science and Engineering Progress, 29, 2022. Crossref

  5. Kushwaha Naveen, Kumar Vimal, Numerical study of saturated boiling heat transfer over the flat and curved surfaces, Heat Transfer, 51, 8, 2022. Crossref

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