flameFoam

Hydrogen-air premixed turbulent combustion model for OpenFOAM-12:

• Progress variable approach
• TFC and ETFC models for RANS with Zimont, Bradley and Bray correlations
• Laminar burning velocity can be set by user (constant value) or estimated using Malet correlation (for lean mixtures only) or (custom DNN model: pending) (for dry mixtures only)
• FSD model for LES with Charlette correlation

Compilation

Library is compiled using wmake command. OpenFOAM-12 needs to be installed.

Activation

Library needs to be included in controlDict:

libs
(
  "flameFoam-12.2.0.so"
);

Example case/tutorial

Preparation in progress, please contact through e-mail

Contributors

• Lead developer: Mantas Povilaitis, 2019 - current, [email protected]
• Co-developer: Julius Venckus, 2022 - current
• DNN model development and implementation: Andrius Ambrutis, 2022 - current
• Porting to OpenFOAM-11: Ilaryon Saladkou, 2024
• Initial co-developer: Justina Jaseliūnaitė, 2019 - 2022

Publications

• General paper on the initial version:
  • flameFoam: An open source CFD solver for turbulent premixed combustion https://www.sciencedirect.com/science/article/pii/S0029549321003137
• Experiment simulations:
  • The role of CFD combustion modelling in hydrogen safety management — IX: Validation of ETFC model implementation in flameFoam for large-scale hydrogen-air-steam deflagration https://www.sciencedirect.com/science/article/abs/pii/S0029549324008379
  • Simulation of Hydrogen-Air-Diluents Mixture Combustion in an Acceleration Tube with FlameFoam Solver https://www.mdpi.com/1996-1073/14/17/5504
  • RANS- and TFC-Based Simulation of Turbulent Combustion in a Small-Scale Venting Chamber https://www.mdpi.com/1996-1073/14/18/5710
• Presentation of the deep neural network developed for the estimation of laminar burning velocity:
  • Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity https://www.mdpi.com/2076-3417/12/15/7460