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Enregistrement W2079014452 · doi:10.2514/1.j050623

Multiple Injector Model for Primary Breakup of a Liquid Jet in Crossflow

2011· article· en· W2079014452 sur OpenAlexaff
Ali Mashayek, M. Behzad, Nasser Ashgriz

Notice bibliographique

RevueAIAA Journal · 2011
Typearticle
Langueen
DomaineEngineering
ThématiqueFluid Dynamics and Heat Transfer
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésRamjetMechanicsBreakupNozzleVaporizationMaterials scienceJet (fluid)InjectorTurbojetScramjetBreak-UpJet engineWeber numberCombustionCombustorAerospace engineeringThermodynamicsPhysicsReynolds numberChemistryTurbulenceEngineeringComposite material

Résumé

récupéré en direct d'OpenAlex

R ADIAL injection of liquid jets into a high-velocity and hightemperature cross stream at elevated pressures has various applications in fuel injection systems and advanced aircraft engines, such as gas turbines, afterburners, augmenters, and various combustors. Since this type of fuel injection can improve the fuel atomization and vaporization characteristics, it is commonly used in turbojet augmenter sections and rich burn-quick quench-lean burn, lean premixed prevaporized, and ramjet and scramjet combustion systems. To date, several analytical, experimental, and numerical studies have investigated various characteristics of the jet-incrossflow (JICF) atomization. Experimental studies have developed several correlations that predict various features of the JICF atomization. Because of the nature of the experimental studies, the results and correlations proposed by each study aremainly applicable within the specific parameter ranges of that study. The JICF atomization problem involves very complex physics, such as strong vortical structures, small-scale wave formation, stripping of small droplets from the jet surface, and formation of ligaments and droplets with a wide range of sizes. The JICF atomization process can be divided into three main phases: 1) injection of a liquid jet perpendicular to a gaseous crossflow, 2) deflection and deformation of the jet, and 3) disintegration of the jet into ligaments and droplets. The atomization mechanism is believed to start by the growth of waves that form on the surface of the jet after injection from the nozzle. The relative velocity between the gas and the liquid phase amplifies the surface waves up to the point where the jet breaks up into smaller droplets. Apart from the three phases mentioned above, more complex small-scale physical processes are involved in the problem, such as particle stripping from the jet. From the computational point of view, the complete numerical simulation of such a problem, resolving most important flow scales on the Eulerian frame, is still expensive, especially for industrial applications. These issues signal the demand for some simpler yet reliable models that can be used for industrial design purposes and, at the same time, take into account the flow conditions and the physical properties of the liquid and gas phases. In this paper, we review some of the challenges involved in modeling of the JICF atomization and propose a model that provides realistic predictions of the jet atomization in crossflows. Our focus will be turbulent jets. To validate the model, we perform several experiments. We first validate our experiments by showing that their resulting correlations are in good agreement with the available literature. Then, we use our experimental results to validate our model results. We decided to perform our own experiments rather than making comparisons to previous studies for twomain reasons. First, we needed spatial droplet size and velocity distributions downstream of the nozzle. Although there are studies available that provide that information (such asWu et al. [1]), they mostly consider laminar jets, whereas we are focused on turbulent jets. Second, performing our own experiments provides us with all the information we need to set up our simulations from initial flow parameters to geometrical specifications. A review of some of the experimental studies devoted to studying various characteristics of the JICF problem can be found in Mashayek andAshgriz [2].Wewill present a brief review on some of the experimental and theoretical literature more relevant to the purposes of this paper. One of the first models for atomization of a liquid phase injected normal to a gas stream was that of Reitz [3]. He modeled the atomization by estimating the wavelength and growth rate of the surface waves and relating the breakup droplet sizes to the wavelengths. Liu et al. [4] also modeled a liquid jet injected normal to a gas stream by successive injection of droplets into the gas phase. They did not consider the stripping of droplets from the surface of the jet and Received 24 April 2010; revision received 6 April 2011; accepted for publication 8 April 2011. Copyright © 2011 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. Copies of this paper may be made for personal or internal use, on condition that the copier pay the $10.00 per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923; include the code 0001-1452/11 and $10.00 in correspondence with the CCC. ∗Department of Physics, 60 St. George Street. Department of Civil Engineering, 35 St. George Street. ; Department of Mechanical and Industrial Engineering, King’s College Road (Corresponding Author). AIAA JOURNAL Vol. 49, No. 11, November 2011

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,061

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,002
Science ouverte0,0040,002
Intégrité de la recherche0,0040,002
Charge utile insuffisante (le modèle a refusé de juger)0,0130,001

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.

Tête enseignante Opus0,022
Tête enseignante GPT0,211
Écart entre enseignants0,190 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations31
Publié2011
Routes d'admission1
Résumé présentoui

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