Detailed computational modeling of laminar and turbulent sooting flames

Adhiraj Dasgupta, Somesh Roy, Daniel Connell Haworth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study reports development and validation of two parallel flame solvers with soot models based on the open-source computation uid dynamics (CFD) toolbox code OpenFOAM. First, a laminar ame solver is developed and validated against experimental data. A semi-empirical two-equation soot model and a detailed soot model using a method of moments with interpolative closure (MOMIC) are implemented in the laminar ame solver. An optically thin radiation model including gray soot radiation is also implemented. Preliminary results using these models show good agreement with experimental data for the laminar axisymmetric diffusion ame studied. Second, a turbulent ame solver is developed using Reynolds-Averaged equations and transported probability density function (tPDF) method. The MOMIC soot model is implemented on this turbulent solver. A sophisticated photon Monte-Carlo (PMC) model with line-by-line spectral radiation database for modeling is also implemented on the turbulent solver. The validation of the turbulent solver is under progress. Both the solvers show good scalability for a moderate-sized chemical mechanism, and can be expected to scale even more strongly when larger chemical mechanisms are used.

Original languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2014 Conference
Subtitle of host publicationEngaging Communities
PublisherAssociation for Computing Machinery
ISBN (Print)9781450328937
DOIs
StatePublished - Jan 1 2014
Event2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 - Atlanta, GA, United States
Duration: Jul 13 2014Jul 18 2014

Publication series

NameACM International Conference Proceeding Series

Other

Other2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014
CountryUnited States
CityAtlanta, GA
Period7/13/147/18/14

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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