Prediction of transient chemistry effect during fuel pyrolysis on the pressure drop through porous material using artificial neural networks

Autor: Leyla Adishirinli, Eddy El Tabach, Nicolas Gascoin, Guillaume Fau

Publikováno v: Journal of Analytical and Applied Pyrolysis
Journal of Analytical and Applied Pyrolysis, Elsevier, 2015, ⟨10.1016/j.jaap.2015.07.010⟩
Third International Scientific Conference The Modeling Of Nonlinear Processes And Systems (MNPS-2015), Moscow State University of Technology “STANKIN” 22-26 June 2015, Moscow, Russia
Third International Scientific Conference The Modeling Of Nonlinear Processes And Systems (MNPS-2015), Moscow State University of Technology “STANKIN” 22-26 June 2015, Moscow, Russia, 2015, moscou, France. ⟨10.1016/j.jaap.2015.07.010⟩
Journal of Analytical and Applied Pyrolysis, Elsevier, 2015, 115, pp.143-148

International audience; Hydrocarbon fuels appear as good candidates for cooling purpose within aerospace applications. Fuel flows through permeable structures. Thus, internal convection cooling is reinforced by chemical kinetics (endothermic effect o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1dc0255df75a12b6a1673453c919f67
https://hal.archives-ouvertes.fr/hal-01253273