Notice bibliographique
Résumé
An unsteady and strong vortical propeller wake can have significant interaction with a body in its race. Since the pod and strut is located downstream an operation propeller for a tractor-type podded propeller, it faces risks of earlier cavitation on the strut, severe vibration of the pod unit, and noise of the propulsor. The aim of this work is to develop a prediction method for the pressure fluctuation on the surface of the pod and strut. -- The study consists of two parts, experimental and numerical. In the experimental study, a podded propeller was tested in a cavitation tunnel. The tip-vortex interacting with the strut was visually investigated, and the strut surface pressure and the propeller shaft loads were measured. By using a data processing procedure, the load and pressure measurements were broken down into time-averaged and phase-averaged components. These components were then linked to the steady and dynamic performance of the propulsor. Pressure measurements showed that the low time-averaged pressure was concentrated in the area around the leading edge of the strut. The lowest pressure was located on the strut suction side near the junction of the strut and pod. However, the largest amplitude of the phase-averaged pressure occurred on the strut leading edge where the tip-vortex impacts the strut. Based on measurement of the propeller shaft loads, the wake impingement effect on the propeller performance was evaluated. The evaluation was made by comparing the shaft loads measured in two tests with and without the installation of the pod and the strut. These showed that wake impingement had no significant effect on the propeller shaft loads, neither on the steady component nor the dynamic components. -- In the numerical study, a Wake Impingement Model (WIM) was developed and inserted into a panel code, PROPELLA. Simulations of the pressure variation on the strut surface were then conducted using the software. The WIM starts from the relaxed and aligned propeller wake. The motion of the wake sheet was traced step by step. For each time step, every wake panel moved from its previous location to a new position. The new position was determined by the product of the time interval and the local induced velocity. When the wake approached the strut, a scheme was applied to keep the wake from penetrating the body surface. To avoid the large numerical disturbance resulting when two dipole panels get too close, the two dipole panels were merged before the calculation of influence coefficients. Numerical simulations on the same tractor-type podded propeller as that in the experimental study were conducted. Although the amplitude of the pressure fluctuation in the tip-vortex/strut interaction zone was under-predicted, comparisons of the numerical results with the experimental data indicated that the simulated pressure was in good agreement over most of the impingement area. Both experimental and numerical studies with the WIM show that WI has insignificant (around 2%) effects on the propeller thrust and torque.
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 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 | 0,000 | 0,001 |
| 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) | 0,001 | 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 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 ».