A robust reacting flow solver with detailed transport, chemistry, and steady-state preserving splitting schemes based on openfoam and cantera

Dezhi Zhou, Suo Yang

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

4 Scopus citations

Abstract

In this study, a reacting flow solver with detailed transport, chemistry and steady-state preserving splitting schemes based on OpenFOAM (OF) and Cantera is developed. To address the existing issues in the current OF platform, Cantera package is coupled with OF so that the chemistry reader, chemistry model and species transport properties handled by Cantera could be accessed by OF. In this way, the simplified transport model and inaccurate ordinary differential equation (ODE) solver in OF can be replaced by the more detailed transport model and reliable CVODE solver. More importantly, two steady-state preserving splitting schemes are implemented in this new solver, showing better accuracy than the existing OF splitting way. The newly added features in this new solver is assessed and validated with a series of auto-ignition, unsteady perfectly stirred reactor and counter flow diffusion flame cases.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2020 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-9
Number of pages9
ISBN (Print)9781624105951
DOIs
StatePublished - 2020
EventAIAA Scitech Forum, 2020 - Orlando, United States
Duration: Jan 6 2020Jan 10 2020

Publication series

NameAIAA Scitech 2020 Forum
Volume1 PartF

Conference

ConferenceAIAA Scitech Forum, 2020
Country/TerritoryUnited States
CityOrlando
Period1/6/201/10/20

Bibliographical note

Funding Information:
S. Yang gratefully acknowledges the faculty start-up funding from the Department of Mechanical Engineering at the University of Minnesota – Twin Cities. The authors gratefully acknowledge the computational resources from the Minnesota Supercomputing Institute (MSI).

Funding Information:
S. Yang gratefully acknowledges the faculty start-up funding from the Department of Mechanical Engineering at the University of Minnesota ? Twin Cities. The authors gratefully acknowledge the computational resources from the Minnesota Supercomputing Institute (MSI).

Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

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