Performance of RANS models for simulating turbulent swirling and free jet flows
Notice bibliographique
Résumé
The present work aims at assessing the perforrnances of RANS turbulence models for simulating turbulent swirling and free jet flows, using the commercial software FLIIENT version 6.I.22.The RANS turbulence models examined are grouped into two families: (l) the two-equation eddy-viscosity models, which are the k-e, RNG k-c, realizable k-t, and the ^9^SZ k-ø, and (ii) the Reynolds stress models, which are the standard .RSM and the ,S,SG.The first flow case simulated in this thesis is a turbulent swirling flow in a can- combustor, in which two inlet swirl intensities (i.e.,S:0.4 and ,5:0.81) are considered.The predictions compared against published experimental data revealed that the eddyviscosity models are unable to capture the central recirculation zone in the case of the weakly swirling flow (,S:0.4).However, although they revealed the existence of this feature for the strongly swirling flow (5:0.81),they were incapable of predicting its correct size.On the other hand, the Reynolds stress models were able to predict the corner and the central recirculation zones for both swirl intensities.The predictions of turbulence intensities by using the realizable k-e and the SST k-a were comparable to those of the Reynolds stress closures.The shear stresses were not well predicted by all the tested models.Both the eddy-viscosity and the Reynolds stress closures showed relatively less approximation errors in the weakly swirling flow.The second flow case examined is a turbulent free jet issuing from a sharp-edged equilateral triangular orifice in still air surrounding.The numerical simulations revealed that among the eddy-viscosity models, the performance of the reqlizctble k+ model is comparable to that of the Rel.nolds stress models with the exception of the predictions of iii the turbulence intensities.The vena contracta effect was predicted by all the tested models' The Æ-e and the RNG k+ models showed faster and slower mixing than that of the experiment, respectively.On the other hand, the Reynolds stress models, especially the standard RSM, appeared to produce better predictions than the eddy-viscosity models.However, the standard RSM seemed unable to capture accurately enough the flatness of the streamwise velocity profiles (top-hat profile) near the centreline in the near-field.The third and last flow case examined in the present thesis is a turbulent free jet issuing from a circular nozzle with a triangular collar.In this exercise, only the standard RSM and the standard Æ-e model are employed.This is because the trends seen in the combustor and the triangular orifice studies suggested that in these geometries the standard R,SM has the potential of producing results that agree remarkably well with experimental data.Whereas the standard /r-e model is used as a simple representative of the two-equation eddy-viscosity models.This flow case, a circular nozzle which is connected to a triangular collar with a step, may be regarded as a combination of the previous geometries.This is because it encompasses both confinement and sudden expansion.The predictions revealed that the standard, RSM, which requires more computational time than does the standard k-e model, is capable of reproducing remarkably well the experimental results.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».