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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

MODELING OF A TURBULENT ETHYLENE/AIR JET FLAME USING HYBRID FINITE VOLUME/MONTE CARLO METHODS

Volume 1, Numéro 1, 2009, pp. 37-53
DOI: 10.1615/ComputThermalScien.v1.i1.20
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RÉSUMÉ

Detailed modeling of an experimental ethylene/air jet flame is undertaken using the joint composition probability distribution function (PDF) method for gas-phase kinetics coupled with detailed models for soot formation and radiation from the flames. The gas-phase kinetics is modeled using a reduced mechanism for ethylene consisting of 33 species and 205 elementary reactions. The soot formation is modeled using the method of moments with a simplified nucleation mechanism and modified surface-HACA (Hydrogen abstraction acetylene addition) mechanism for surface growth and oxidation. The soot formation is coupled directly with a transported PDF approach to account for turbulence-chemistry interactions in gas-phase chemistry and the highly nonlinear soot formation processes. Radiation from soot and combustion gases is accounted for by using a photon Monte Carlo method coupled with nongray properties for soot and gases. Soot particles are assumed to be small, and scattering effects are neglected. Turbulence-radiation interactions are captured accurately. Simulation results are compared to experimental data, and also with less CPU-intensive radiation calculations using the optically thin approximation.

CITÉ PAR
  1. Modest Michael F, The Monte Carlo Method for Participating Media, in Radiative Heat Transfer, 2013. Crossref

  2. Roy S. P., Arias P. G., Lecoustre V. R., Haworth D. C., Im H. G., Trouvé A., Development of High Fidelity Soot Aerosol Dynamics Models using Method of Moments with Interpolative Closure, Aerosol Science and Technology, 48, 4, 2014. Crossref

  3. Modest Michael F, Radiation Combined with Conduction and Convection, in Radiative Heat Transfer, 2013. Crossref

  4. Roy Somesh P., Haworth Daniel C., A Systematic Comparison of Detailed Soot Models and Gas-Phase Chemical Mechanisms in Laminar Premixed Flames, Combustion Science and Technology, 188, 7, 2016. Crossref

  5. Modest Michael F., Haworth Daniel C., Radiation Properties, RTE Solvers, and TRI Models, in Radiative Heat Transfer in Turbulent Combustion Systems, 2016. Crossref

  6. Ren Tao, Modest Michael F., Haworth Daniel C., Simulating turbulence–radiation interactions using a presumed probability density function method, International Journal of Heat and Mass Transfer, 121, 2018. Crossref

  7. Modest Michael F., Mazumder Sandip, Radiation in Chemically Reacting Systems, in Radiative Heat Transfer, 2022. Crossref

  8. Modest Michael F., Mazumder Sandip, The Monte Carlo Method for Participating Media, in Radiative Heat Transfer, 2022. Crossref

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