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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

Indexed in

NUMERICAL METHOD FOR SPHERICAL BUBBLE GROWTH IN SUPERHEATED LIQUIDS

Volumen 2, Edición 1, 2010, pp. 19-31
DOI: 10.1615/ComputThermalScien.v2.i1.20
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SINOPSIS

A simple mathematical model and numerical method have been developed which accurately predict the moving boundary problem associated with spherically symmetric phase growth in an unbounded medium. Spherically symmetric bubble growth curves in initially isothermal liquids have been generated for four test cases covering a range of system pressures and initial liquid superheats for two different fluids, water and R113. The influences of the input parameters have been scrutinized and the accuracy of the numerical solutions has been confirmed by comparison with analytic approximations and experimental measurements. The main objectives of the study are to present a straightforward mathematical and numerical treatment of the problem and to provide benchmark bubble growth curves in order to provide a stepping stone for the development of more complex bubble growth theories such as those required to predict bubble growth during nucleate pool boiling.

CITADO POR
  1. Lesage Frédéric J., Cotton James S., Robinson Anthony J., Analysis of quasi-static vapour bubble shape during growth and departure, Physics of Fluids, 25, 6, 2013. Crossref

  2. Lesage Frédéric J., Cotton James S., Robinson Anthony J., Modelling of quasi-static adiabatic bubble formation, growth and detachment for low Bond numbers, Chemical Engineering Science, 104, 2013. Crossref

  3. Avdeev A. A., Laws of vapor bubble growth in the superheated liquid volume (thermal growth scheme), High Temperature, 52, 4, 2014. Crossref

  4. Liu Hong, Cai Chang, Xi Xi, Yan Yan'an, Jia Ming, A novel model for the bubble growth in the cavitation region of an injector nozzle, International Journal of Heat and Mass Transfer, 119, 2018. Crossref

  5. Avdeev Alexander A., Thermally Controlled Bubble Growth, in Bubble Systems, 2016. Crossref

  6. Zhou Shan, Yu Cunlong, Li Chuxin, Jiang Lei, Dong Zhichao, Droplets Crawling on Peristome‐Mimetic Surfaces, Advanced Functional Materials, 30, 12, 2020. Crossref

  7. Hao Liang, A mathematical study of bubble dynamics in superheated sodium chloride solution, International Journal of Heat and Mass Transfer, 145, 2019. Crossref

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