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Enregistrement W2142991290 · doi:10.2514/6.2007-5531

A Transient Model of the VINCI Cryogenic Upper Stage Rocket Engine

2007· article· en· W2142991290 sur OpenAlexaff
Stéphane Durteste

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueRocket and propulsion systems research
Établissements canadiensSafran Electronics (Canada)
Organismes subventionnairesnon disponible
Mots-clésStage (stratigraphy)Transient (computer programming)Rocket (weapon)Aerospace engineeringAeronauticsRocket engineLiquid-propellant rocketTransient analysisEngineeringAutomotive engineeringMechanical engineeringComputer scienceElectrical engineeringTransient responseGeologyPropellantOperating system

Résumé

récupéré en direct d'OpenAlex

This paper deals with the development and the applications of a computational transient model of the VINCI cryogenic expander cycle upper stage rocket engine, tested in the frame of the FLPP Expander Demonstration Program managed by the European Space Agency (ESA). Snecma has been developing a transient system model of the VINCI engine since the beginning of the engine development, and the constant use of transient simulation was one of the major factors contributing to the success of the first two VINCI engines test campaigns. Simulation results have been found to be in good agreement with the measurements from the very first tests. The model accurately predicts the engine global behavior during start-up and shutdown, as well as the engine steady-state performance, and it also describes correctly the transient behavior of complex subsystems such as the combustion chamber or the turbopumps. This paper provides an overview of the physical content of the VINCI engine transient model. Simulation results from the model are compared with engine test data, and the model representativeness is discussed in detail. A focus is made on highly unsteady phenomena, such as valve maneuverings, and their effects on the whole engine behavior. I. Introduction HIS paper deals with the development and the applications of a computational transient model of the VINCI rocket engine. The VINCI is a cryogenic expander cycle engine, basis of a demonstration program preparing an application on the European launchers, in the frame of the European Space Agency (ESA) Future Launcher Preparatory Program (FLPP). The VINCI development in 200 5 and 2006 was conducted in the frame of the predevelopment of a cryogenic upper stage, under contract from the Centre National d’Etudes Spatiales (CNES), the French Space Agency, on behalf of ESA. The Space Engines Division of Snec ma in Vernon, France, acting as a prime contractor, is in charge in particular of the engine overall system design and integration. Snecma has been developing a transient system model of the VINCI engine since the beginning of the engine development, in order to predict its behavior during start-up and shutdown transients, as well as during potential failure scenarios. This model can also be used to identify possible undesirable unsteady effects that may occur during the engine transient operation phases, and to assess the consequences of any design changes. The constant use of tran sient system simulation has been one of the major success factors of the first two VINCI engines test campaigns that took place from May to July 2005 (M1 engine) and from November 2005 to February 2006 (M2 engine). During a test campaign, the model was used on a systematic basis in order to perform risk analysis for the subsequent tests, and to gain a physical knowledge of the engine behavior complementary to the one coming from raw measurements. Thanks to the intensive modeling work done at Snec ma, and to the experience gained from subsystem and component tests, simulation results were found to be in good agreement with measurements. A fairly good agreement was obtained from the very first tests, despite the fact that the VINCI engine is the first cryogenic expander cycle engine ever built and tested in Western Europe. The model accurately predicts the engine global behavior during start-up and shutdown, as well as the engine steady-state performance, and it also describes correctly the transient behavior of complex subsystems such as the combustion chamber or the turbopumps. This publication provides an overview of the physical content of the VINCI engine transient model, including the modeling process of the different subsystems. Simulation results from the model are compared with engine test data, and the model representativeness is discussed in detail. A focus is made on highly unsteady phenomena, such as valve maneuverings, and their effects on the whole engine behavior.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
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 enseignants0,017
Score d'incertitude au seuil0,034

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,023
Tête enseignante GPT0,252
Écart entre enseignants0,229 · 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

Citations14
Publié2007
Routes d'admission1
Résumé présentoui

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