Computational Fluid Dynamics (CFD) Modeling of Microchannel Filling Applications Utilized in Consumer Electronics Manufacturing
Notice bibliographique
Résumé
Abstract The increasing push for smaller and stacked electronics configurations along with a demand for faster time-to-market places great emphasis to improve the reliability of parts in the consumer electronics industry. Microchannel filling is an important class of manufacturing processes used to enhance the reliability of products by improving the reliability of parts assembled with adhesives, augmenting the reliability of printed circuit boards (PCB) used in handheld devices by encapsulation with epoxy, and enhancing the performance of flip-chip packaging technology in semiconductor packaging. For example, during a flip-chip process called underfilling, a highly viscous epoxy-like material is dispensed into microchannels between the chip and substrate. Depending on the epoxy dispensing process and the microchannel geometry, air entrapment can occur in the epoxy, which can lead to product reliability issues and formation of cracks in area of air entrapment. Similarly, the effectiveness of components in a device joined by coating of adhesives effectively depends on the uniformity of the adhesive layer between the device components and absence of air voids. An accurate three-dimensional (3D) flow analysis is required to optimize the parameters to ensure uniformity and accuracy of these filling processes for optimal flow of glue/epoxy, design better flip-chips and achieve the required thermo-mechanical performance of the assembled parts. High-fidelity 3D modeling needs to account for the flow of multiple fluid phases, surface tension effects and the ability to consider advanced fluid material properties. The present study focusses on microchannel filling applications such as bracket filling with nozzles, underfilling and printed circuit board (PCB) encapsulation, which are relevant to consumer electronics manufacturing. We present a robust multiphase workflow to accurately model the capillary-driven filling behavior of highly viscous materials like adhesives and epoxy in thin microchannels. The simulations utilize unstructured polyhedral meshes with Fluent meshing to accurately capture the true shape of thin complex electronic components and small gaps, without any approximation. Additionally, the latest capabilities of the CFD solver Ansys Fluent such as enhanced Volume-of-Fluid (VOF) method numerics, physics-based adaptive time-stepping, and advanced stabilization controls are utilized for these high-fidelity multiphase flow simulations. Using these simulations, we can examine the flow velocity of adhesive in microchannels, formation of air voids due to adhesive dispense parameters, air entrapment due to capillary flow and overflowing of adhesive due to incorrect nozzle flow rates, amongst other analysis parameters. This work highlights some of our recent efforts to optimize the adhesive/epoxy dispensing and filling processes to mitigate the effects of air entrapment and void formation to achieve reliable packaging solutions and improved manufacturing productivity.
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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) | 0,000 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».