Your browser doesn't support javascript.
loading
A multi-component discrete Boltzmann model for nonequilibrium reactive flows.
Lin, Chuandong; Luo, Kai Hong; Fei, Linlin; Succi, Sauro.
Afiliação
  • Lin C; Center for Combustion Energy, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing, 100084, China. chuandonglin@163.com.
  • Luo KH; Center for Combustion Energy, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing, 100084, China. K.Luo@ucl.ac.uk.
  • Fei L; Department of Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK. K.Luo@ucl.ac.uk.
  • Succi S; Center for Combustion Energy, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing, 100084, China.
Sci Rep ; 7(1): 14580, 2017 11 06.
Article em En | MEDLINE | ID: mdl-29109453
ABSTRACT
We propose a multi-component discrete Boltzmann model (DBM) for premixed, nonpremixed, or partially premixed nonequilibrium reactive flows. This model is suitable for both subsonic and supersonic flows with or without chemical reaction and/or external force. A two-dimensional sixteen-velocity model is constructed for the DBM. In the hydrodynamic limit, the DBM recovers the modified Navier-Stokes equations for reacting species in a force field. Compared to standard lattice Boltzmann models, the DBM presents not only more accurate hydrodynamic quantities, but also detailed nonequilibrium effects that are essential yet long-neglected by traditional fluid dynamics. Apart from nonequilibrium terms (viscous stress and heat flux) in conventional models, specific hydrodynamic and thermodynamic nonequilibrium quantities (high order kinetic moments and their departure from equilibrium) are dynamically obtained from the DBM in a straightforward way. Due to its generality, the developed methodology is applicable to a wide range of phenomena across many energy technologies, emissions reduction, environmental protection, mining accident prevention, chemical and process industry.

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article