Book contents
2 - Computational Fluid Dynamics
Published online by Cambridge University Press: 17 June 2020
Summary
Humans have an insatiable desire to model physical phenomena and to continuously improve those models, be it modeling weather patterns for forecasting, molecular modeling in pharmaceutical research, or even biscuits baking in an oven.1 Of particular interest, especially given the nature of this book, is the modeling of combustion and combustion systems. Modeling of combustion comes in many forms, ranging from simple stoichiometry of global reactions, to detailed kinetic modeling of elementary reactions in a combustion mechanism, to one-dimensional reactor models, to full-blown transient three-dimensional models using Computational Fluid Dynamics (CFD).
- Type
- Chapter
- Information
- A Gallery of Combustion and Fire , pp. 39 - 54Publisher: Cambridge University PressPrint publication year: 2020
References
Reference
Fahloul, D., Trystram, G., Duquenoy, A., Barbotteau, I., Modelling heat and mass transfer in band oven biscuit baking, LWT – Food Science and Technology, 27, 2 (1994), 119–124, ISSN 0023-6438, https://doi.org/10.1006/fstl.1994.1027.Google Scholar
References
Bourgouin, J.–F., Durox, D., Schuller, T., Beaunier, J., Candel, S., Combust, Flame 160 (2013), 1398–1413.CrossRefGoogle Scholar
Philip, M., Boileau, M., Vicquelin, R., Riber, E., Schmitt, T., Cuenot, B., Durox, D., Candel, S., Large eddy simulations of the ignition sequence of an annular multiple-injector combustor, Proceedings of the Combustion Institute 35, 3(2015), 3159–3166.Google Scholar
Reference
Cavaliere, D. E., Kariuki, J., Mastorakos, E., A comparison of the blow-off behaviour of swirl-stabilized premixed, non-premixed and spray flames, Flow, Turbulence and Combustion, 91 (2013), 347–372.Google Scholar
Reference
Ruiz, A. M., Lacaze, G., Oefelein, J. C., Mari, R., Cuenot, B., Selle, L., Poinsot, T., Numerical benchmark for high-Reynolds-number supercritical flows with large density gradients, AIAA Journal 54, 5(2015), 1445–1460.Google Scholar
References
Gröning, S., Hardi, J. S., Suslov, D., Oschwald, M., Injector-driven combustion instabilities in a hydrogen/oxygen rocket combustor, Journal of Propulsion and Power 32.3 (2016), https://doi.org/10.2514/1.B35768.Google Scholar
Urbano, Annafederica, Selle, Laurent, Staffelbach, Gabriel, and Cuenot, Bénédicte, Exploration of combustion instability triggering using large eddy simulation of a multiple injector liquid rocket engine, Combustion and Flame 169 (2016), 129–140.Google Scholar
Reference
Eude, Yohann, Davidenko, Dmitry, Falempin, Francois, and Gökalp, Iskender, Use of the adaptive mesh refinement for 3D simulations of a CDWRE (continuous detonation wave rocket engine). AIAA paper 2236 (2011), 2011.CrossRefGoogle Scholar
Reference
Peters, André A. F. and Weber, Roman, Mathematical modeling of a 2.4 MW swirling pulverized coal flame, Combustion Science and Technology 122 (1997), 131–182.CrossRefGoogle Scholar
References
Nakamura, T., Vandecamp, W. L., Smart, J. P., Further studies on high temperature gas combustion in glass furnaces, Technical report, IFRF Doc No F 90/Y/7, 1990.Google Scholar
Sankaran, R., Hawkes, E. R., Chen, J. H., Lu, T. F., Law, C. K., Structure of a spatially developing turbulent lean methane–air Bunsen flame, Proceedings of the Combustion Institute 31 (2007), 1291–1298.Google Scholar
Mallouppas, G., Zhang, Y., Rawat, R., Modelling of combustion, NOx Emissions and radiation of a natural gas fired glass furnace, AFRC 2014 Industrial Combustion Symposium.Google Scholar
References
Locci, C., Mallouppas, G., Rawat, R., Numerical analysis of NO and CO in a flameless burner, AFRC 2016 Industrial Combustion Symposium.Google Scholar
Verissimo, A. S., Rocha, A. M. A., Costa, M., Operational, combustion, and emission characteristics of a small-scale combustor, Energy & Fuel 25 (2011), 2469–2480.Google Scholar
Reference
Farcy, B., Vervisch, L., Domingo, P., Large eddy simulation of selective non-catalytic reduction (SNCR): a downsizing procedure for simulating nitric-oxide reduction units, Chemical Engineering and Science 139 (2016), 285–303.Google Scholar
References
Choe, L., Ramesh, S., Hoehler, M., Bundy, M., Seif, M., Zhang, C., Gross, J., National Fire Research Laboratory commissioning project: testing steel beams under localized fire exposure, NIST Technical Note TN 1977, National Institute of Standards and Technology, Gaithersburg, MD, 2017.CrossRefGoogle Scholar
McGrattan, K., Hostikka, S., McDermott, R., Floyd, J., Weinschenk, C., Overholt, K., Fire Dynamics Simulator, Technical Reference Guide, Volume 1: Mathematical Model. National Institute of Standards and Technology, Gaithersburg, Maryland, USA, and VTT Technical Research Centre of Finland, Espoo, Finland, NIST Special Publication 1018-1, Sixth Edition, 2013.Google Scholar
Forney, G. P., Smokeview, a tool for visualizing fire dynamics simulation data, volume ii: technical reference guide. National Institute of Standards and Technology, NIST Special Publication 1017-2, Gaithersburg, Maryland, Sixth Edition, 2013.CrossRefGoogle Scholar
Zhang, C., Choe, L., Gross, J., Ramesh, S., Bundy, M., Engineering approach for designing a thermal test of real-scale steel beam exposed to localized fire, Fire Technology 53, 4 (2017), 1535–1554.CrossRefGoogle Scholar