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Solutions for a laminar jet diffusion flame of methyl formate using a skeletal mechanism obtained by applying ANNs

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Abstract

Numerical simulations involving detailed kinetic combustion reaction mechanisms for long chain fuels are associated with prohibitive computational costs. Thus, there is the need for reduced kinetic mechanisms for the effective numerical simulation of these fuels. The objective of this work is the development of a skeletal mechanism of moderate stiffness for the methyl formate (MF). MF is not indicated as a biodiesel surrogate due to its very short chain, but its study allows to understand its role in the combustion process. Then, based on a detailed mechanism composed of 950 reactions and 176 species, Directed Relation Graph, Depth First Search and a model of Artificial Neural Networks are employed to obtain a skeletal mechanism with 43 reactions and 23 species. The results obtained are satisfactory.

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Acknowledgements

This research is being developed at UFRGS, Federal University of Rio Grande do Sul. Professor De Bortoli gratefully acknowledges the financial support from CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico, under Grant 306768/2018-6.

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Authors and Affiliations

  1. Federal University of Pampa, Av. Maria Anunciação Gomes de Godoy, 1650, Bagé, RS, 96413-172, Brazil

    F. R. R. Padilha

  2. Graduate Program in Applied Mathematics, Federal University of Rio Grande do Sul, Av. Bento Gonçalves 9500, Porto Alegre, RS, 91509-900, Brazil

    A. L. De Bortoli

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  1. F. R. R. Padilha
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Correspondence to A. L. De Bortoli.

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Padilha, F.R.R., De Bortoli, A.L. Solutions for a laminar jet diffusion flame of methyl formate using a skeletal mechanism obtained by applying ANNs. J Math Chem 57, 2229–2247 (2019). https://doi.org/10.1007/s10910-019-01068-3

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