Modelling of heat transfer in an enclosed two-phase dielectric immersioncooling system for electronic components
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Abstract: Electronic components, such as high-performance processors for data centres, are becoming increasingly powerful and generate large quantities of heat. The 2022 International Technology Roadmap for Devices and Systems projects that the maximum thermal design power for individual chip socket will increase from 300 W in 2022 to 700 W in 2032. Thermal management of these components has been a major performance bottleneck for years. Two-phase dielectric immersion is a cooling solution that could provide the cooling capacity required for future high performances electronics. The current study is part of an effort to develop a closed two-phase dielectric immersion cooling system for high-performance processors. The system studied was a chamber filled with a dielectric fluid, that had a heating element at the bottom on which boiling occurred. At the top of the chamber was a heat sink cooled by a water-fed cold plate on which condensation occurred. An experimental prototype was built to evaluate the impact of important operating parameters on the thermal performances of the cooling system. The operating parameters chosen were the filling ratio of the chamber, the flow rate and the inlet temperature of the water circulating in the cold plate. The temperature and the pressure inside the chamber were measured. In each set of tests, the power supplied to the heating element was increased until the maximum pressure limit of the system was reached. The objective of the study was to develop a model based on basic principles and equations to calculate the temperature and the pressure inside the chamber as a function of the power supplied the heating element. To model was used to provide insights on how the operating parameters had an impact on the thermal performances of the system. The output of the model was close to the experimental data. The transient temperature and pressure profiles inside the chamber calculated with the model matched the experimental data with less than 10% of error. The impact of the filling ratio on the overall thermal resistance was negligible. The cold plate flow rate and temperature both had a significant impact on the thermal performances. A higher flow rate and a lower temperature led to a lower overall thermal resistance. The model was developed for the condensation assembly used in the experimental setup due to the complexity of the condensation in a closed chamber with boiling a dielectric fluid.
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.
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) | 0,000 | 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) | 0,000 | 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 découle