Notice bibliographique
Résumé
The cyclic flow was simulated with a square cross-section optical water analog engine. A stereoscopic particle image velocimetry was constructed using two charge-coupled device (CCD) cameras to produce three component velocity vectors over a 17 mm by 20 mm area. Measurements were taken at nine different locations behind the upper-valve centerline. Engine speeds were at 15 and 20 revolutions per minutes (RPM). Three different valve configurations were studied using different combinations of two open valve lift (10 and 20 mm). Statistically significant numbers of image sets were obtained at a number of specific crank angles. The adaptive cross-correlation algorithm (Usera, 1999) was applied to extract velocity fields from captured images. Three different averaging methods were employed to decompose the instantaneous velocity into mean and turbulence components: ensemble, cyclic and wavelet-based averaging. The ensemble averaging does not consider the cycle-to-cycle mean variation as opposed to cyclic and wavelet averaging. The wavelet-based averaging better met the mean value based criteria introduced by Catania and Mittica (1990) than cyclic averaging. The large-scale vortex structure found during the intake stroke broke down at 180 CAD and disappeared during the exhaust stroke. The turbulence level was relatively high while the large-scale vortex structure was sustained in the process. Mean Reynolds stress and turbulence intensity showed that the out-of-plane component of turbulence was significantly higher than the in-plane components and significant turbulent energy transfer occurred between two in-plane components. A number of statistical quantities indicated large discrepancies in scales and distributions determined using different averaging schemes, which may lead to differing physical interpretations of the flow. The objective of the present study was to experimentally investigate the mixing characteristics of cyclic flow. The technical and analytical limitations from previous experiments were defined and their impacts on the interpretation of cyclic flow were discussed. Two shortcomings were identified from past experimental studies: (1) technical limitations because of incomplete measurement velocity components and insufficient measurement points, (2) analytical limitations because of inappropriate averaging of the turbulence. The current experimental study closes these gaps.
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 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) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».