Solutions for a laminar jet diffusion flame of methyl formate using a skeletal mechanism obtained by applying ANNs
作者： F. R. R. Padilha , A. L. De Bortoli
DOI: 10.1007/S10910-019-01068-3
关键词:
摘要: Numerical simulations involving detailed kinetic combustion reaction mechanisms for long chain fuels are associated with prohibitive computational costs. Thus, there is the need reduced effective numerical simulation of these fuels. The objective this work development a skeletal mechanism moderate stiffness methyl formate (MF). MF not indicated as biodiesel surrogate due to its very short chain, but study allows understand role in process. Then, based on composed 950 reactions and 176 species, Directed Relation Graph, Depth First Search model Artificial Neural Networks employed obtain 43 23 species. results obtained satisfactory.
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