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Enregistrement W2477484091 · doi:10.20381/ruor-13288

Development of Conventional and Nanocrystalline Bond Coats by Cold Gas Dynamic Spraying for Aerospace Thermal Barrier Coatings

2010· dissertation· en· W2477484091 sur OpenAlexfundaboutno aff
P. Richer

Notice bibliographique

RevueuO Research (University of Ottawa) · 2010
Typedissertation
Langueen
DomaineEngineering
ThématiqueHigh-Temperature Coating Behaviors
Établissements canadiensnon disponible
Organismes subventionnairesUniversidad de ChileMcGill University
Mots-clésAerospaceNanocrystalline materialMaterials scienceThermal barrier coatingThermalGas dynamic cold sprayComposite materialBondMechanical engineeringEngineering physicsMetallurgyNanotechnologyEngineeringAerospace engineeringCoatingBusinessMeteorologyPhysics

Résumé

récupéré en direct d'OpenAlex

Gas turbine engines are considered to be among the most hostile operating environments for conventional material systems. Increasing demands for higher engine performance and durability of components have led to the development of thermal barrier coating (TBC) systems. Typical TBC systems consist of two coating layers: an insulating ceramic top coat for thermal protection and an underlying metallic bond coat for improved adhesion of the top coat and better chemical protection against high temperature oxidation and hot corrosion. However, current use of these coating systems is limited due to their premature failure which is associated to cracking and delaminating of the ceramic top coat. It is generally accepted that the primary mechanism responsible for TBC failure is attributed to oxidation of the bond coat which results in the formation of an oxide scale at the interface between the bond coat and ceramic top coat and eventually causes cracking and delamination of the top coat. Better understanding and control of the bond coat oxidation dynamics is therefore of primary importance for the development of TBC systems with improved performance. The bond coat is commonly manufactured by thermal spray techniques: the bond coat material, initially in powder form, is heated beyond its melting point, projected onto the surface to be coated and finally re-solidified upon cooling to form a coating. It has been demonstrated that certain microstructural features of the bond coat that are detrimental to its oxidation behaviour originate from thermally induced effects encountered during thermal spraying. Therefore, it is expected that improved bond coat oxidation behaviour could be achieved if the deposition process did not involve significant heating of the material. Recent developments in the surface and coatings industry have given rise to a new coating technology known as Cold Gas Dynamic Spraying (CGDS). As its name implies, this process does not rely on thermal energy for the formation of coatings, but rather on kinetic energy: particles are accelerated above a critical velocity and plastically deform upon impact on the substrate to adhere and form a coating. Due to the absence of significant heating of the sprayed material, this work aims to manufacture bond coats using the CGDS deposition technique and investigate whether improved oxidation behaviour can be achieved. The present thesis provides a description of the experimental approaches considered for the development of CGDS bond coats with improved oxidation behaviour. Given the complexity of TBC systems due to the various interactions between the multiple coating layers, this work strictly concentrates on the bond coat layer without the presence of the superalloy substrate or ceramic top coat, thereby allowing the thorough characterization of the bond coat oxidation behaviour as a function of the initial powder microstructure and different deposition techniques. As such, the objectives of this work are to demonstrate the feasibility of manufacturing bond coats using the CGDS technique, optimize the deposition process for the materials considered, verify whether the CGDS process induces microstructural changes in the deposited material and finally evaluate and compare the oxidation behaviour of CGDS bond coats with those of thermal sprayed bond coats. Results of this work show that bond coatings with conventional and nanocrystalline microstructures were successfully manufactured by the CGDS system developed at the University of Ottawa Cold Spray Laboratory. Optimal spraying parameters were also identified and coatings with low levels of porosity were successfully deposited using this technique. Investigation of the original feedstock powder and resulting coating microstructures revealed that significant microstructural transformations had occurred throughout the CGDS deposition process as a result of extensive plastic deformation of the particles. Isothermal oxidation testing was also carried out on both the conventional and nanocrystalline CGDS coatings. For comparison purposes, thermal spray coatings were also manufactured (using the air plasma spray and high velocity oxy-fuel processes) and subjected to oxidation testing. Results showed that low temperature processing of bond coat materials is beneficial to their oxidation behaviour as it results in coatings with low porosity and limited oxide content, thereby leading to lower oxide growth rates. Furthermore, the CGDS process was observed to produce coatings characterized with fine grain structures (either by means of a grain refinement process of the conventional material or by preserving the fine grain structure of the nanocrystalline material) which was also shown to be beneficial to the oxidation behaviour. Results from this work therefore demonstrate that potentially significant improvements to TBC performance could be achieved by manufacturing bond coats using the CGDS deposition technique.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,126
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,272
Écart entre enseignants0,257 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2010
Routes d'admission2
Résumé présentoui

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