Sensitivity Study on Species Diffusion Models in Turbulent Combustion of Hydrogen/air Jet in Crossflow Structure
Notice bibliographique
Résumé
Abstract CFD approach has been intensively used for novel hydrogen combustion technologies as well as emissions prediction. In order to minimise time and costs, simplified combustion CFD models have been developed to take into account of the effect of turbulence-chemistry interactions, coupled with both RANS and LES models. These models often employ assumptions that have been validated for conventional fuels such as Jet-A1 and natural gas. It is clear that the preferential diffusion and thermal diffusion play a vital role in hydrogen laminar premixed flames. Conventionally, it is believed that for high Re cases, turbulent diffusion is dominant, preferential diffusion and thermal diffusion only have a minor effect. For highly turbulent non-premixed flames, these effects have not been fully investigated. The appropriate modelling of these effects is essential for reaction rate, flame temperature and emissions prediction. There is a need to study the sensitivity of different species diffusion models for hydrogen-air flames. Within the current study, a single micromix injector burning a hydrogen air mixture with an overall equivalence ratio of 0.4 has been simulated in a systematic RANS campaign, and compared with LES. The RANS campaign employs two combustion models: FGM with the kinetic rate closure and Complex Chemistry (CC) with both the laminar flame concept (LFC) and eddy dissipation concept (EDC) closures. The LES employs the same combustion models. The sensitivity of Lewis and Schmidt numbers have been investigated for FGM and EDC model. As expected, FGM is insensitive to the value of Le and Sc whereas for LFC, significant changes have been observed between Le = 0.25 and 0.5, Sc = 0.5 and 0.75. Several species diffusion coefficient models have been used with both LFC and EDC, including: mixture averaged, multi-component and multi-component with thermal diffusion coefficients. All three approaches of modelling molecular diffusivity yielded flame lengths and temperatures of a similar order. The micromix flame was found to be a mixture of both premixed and non-premixed, with jets of strongly premixed and non-premixed originating from the hydrogen injectors. The sensitivity of turbulent Sc and Le numbers has also been studied with LFC models. It was clearly shown that these changes lead to more significant variation in flame length and temperature compared to those caused by different molecular diffusivity models. LES results with various multi-component diffusion models are compared, the results are in better agreement relative to RANS with different models. The similarity in flame length and insensitivity to CC closure type demonstrates the dominance of turbulence in determining flame structure, through turbulent mixing.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».