Notice bibliographique
Résumé
The focus of this dissertation is on the deployment and characterization of a micro-scale aerosol-jet additive manufacturing technology to print highly conductive and flexible graphene-based patterns. For this purpose, a highly concentrated graphene ink with a viscosity of 21 cP and 3.1 mg/ml graphene flakes with the lateral size below 200 nm was developed and adopted for the aerosol-jet printing process to make a reliable and repeatable graphene deposition on the treated Si/SiO2 wafers. To this end, the influence of the most significant process parameters, including the atomizer power, the atomizer flow rate, and the number of the printed layers, on the size and properties of graphene patterns was studied. Results showed that the aerosol-jet printing process is capable of printing micro-scale graphene pattern with variable widths in the range of 10 to 90 micron. These patterns, as the finest printed graphene patterns, with resistivity as low as 0.018 Ω.cm and a sheet resistance of 1.64 kΩ/□ may ease the development of miniaturized printed electronic applications of graphene. \nIn this work, a laser processing protocol for the heat treatment of the printed graphene patterns was also developed, and the results were compared with the counterpart results obtained by the conventional heat treatment process carried out in a furnace. A continuous-wave Erbium fiber laser was used to enhance electrical properties of the aerosol-jet printed graphene patterns through removing solvents and a stabilizer polymer. The laser power and the process speed were optimized to effectively treat the printed patterns without compromising the quality of the graphene flakes. Furthermore, a heat transfer model was developed, and its results were utilized to optimize the laser treatment process. It was found that the laser heat treatment process with a laser speed of 0.03 mm/s, a laser beam diameter ~50 µm, and a laser power of 10 W results in pure graphene patterns with no excessive components. The results suggested that the laser processing has the capability of removing stabilizer polymers and solvents through a localized moving heat source, which is preferable for flexible electronics with low working temperature substrates. \nThis dissertation also addresses the deployment of a graphene/silver nanoparticle (Ag NP) ink in an aerosol-jet additive manufacturing system in order to print highly conductive and flexible graphene/Ag patterns for flexible printed electronics. A graphene/Ag NP ink was developed using stabilized graphene powder, viscose Ag NP ink, and solvents compatible with the printing system. Printing with this ink produced a uniform microstructure and crack-free printed interconnects. With a mean resistivity of 1.07×〖10〗^(-4) Ω.cm, these interconnects are about 100 times more conductive than graphene and three times more conductive than Ag NP interconnects printed with the same printing system. With their high degree of conductivity and a level of flexibility identical to that of graphene printed patterns, concluded from bending test results, graphene/Ag aerosol-jet printed patterns may therefore be considered as an efficient candidate compared to either graphene or Ag NP printed patterns for flexible electronics.
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 | 0,000 |
| 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) | 0,001 | 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 ».