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Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
Published on: June 1, 2016
Numerical simulation of turbulent gas flames in tubes
E Salzano1, F S Marra, G Russo
1Istituto di Ricerche sulla Combustione, CNR-IRC, Napoli, Italy. salzano@irc.na.cnr.it
Computational fluid dynamics (CFD) simulations accurately predict slower gas explosion flame acceleration. However, the CFD code showed limitations in predicting faster regimes like detonations.
Area of Science:
- Fluid Dynamics
- Combustion Science
- Computational Modeling
Background:
- Computational fluid dynamics (CFD) is increasingly used for gas explosion consequence prediction.
- Reliability assessments of CFD for industrial-scale scenarios require more validation.
- Limited experimental data hinders comprehensive comparison and validation of CFD models.
Purpose of the Study:
- To simulate experimental data of flame acceleration in obstacle-filled tubes.
- To assess the accuracy of the CFD code AutoReagas against experimental results.
- To investigate the influence of numerical, geometrical, and mixture parameters on simulation outcomes.
Main Methods:
- Simulations were performed using the CFD code AutoReagas.
- Experimental data from well-documented flame acceleration tests in obstacle-filled tubes were used for validation.
- Numerical predictions were systematically compared with experimental flame speeds across different regimes.
Main Results:
- CFD simulations showed satisfactory accuracy for slower turbulent deflagration regimes.
- The code's performance was fair when simulating the choking regime.
- The CFD code did not predict transitions to quasi-detonation or Chapman-Jouguet (CJ) regimes.
Conclusions:
- The AutoReagas CFD code is reliable for simulating slower turbulent deflagration and choking regimes in gas explosions.
- Further development is needed to accurately capture faster combustion regimes, such as detonations.
- Validation against experimental data is crucial for assessing CFD model reliability in industrial safety applications.
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