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Enregistrement W4385071964 · doi:10.1093/micmic/ozad067.372

Influence of 0.5wt%Graphene Addition on Mechanical Performance of Alumina-Graphene Nanocomposite

2023· article· en· W4385071964 sur OpenAlexaff
Solomon Hanson Duntu, Iftikhar Ahmad, Mohammad Islam, Solomon Boakye–Yiadom

Notice bibliographique

RevueMicroscopy and Microanalysis · 2023
Typearticle
Langueen
DomaineMaterials Science
ThématiqueGraphene research and applications
Établissements canadiensYork University
Organismes subventionnairesnon disponible
Mots-clésGrapheneMaterials scienceNanocompositeGraphene foamNanotechnologyGraphene oxide paperChemical engineering

Résumé

récupéré en direct d'OpenAlex

Technical ceramics such as alumina (Al2O3), boron nitride and silicon nitride have enormous applications in various engineering fields. The appealing properties of ceramics such as alumina including low density, high hardness, high oxidation resistance, high thermal and electrical resistance, and good chemical stability makes alumina vibrant in current applications including biomedical implants, cutting tools, aerospace, insulators in electronic [1]. Despite the attractive properties of structural alumina, its brittleness limits its potential for high performance applications. The strong directional bonding of atoms and limited plasticity (e.g., dislocation mobility) under loading conditions lead to the lower fracture toughness by minimizing the local relief of high stress [2]. With the aim to improve mechanical properties without compromising their lightweight attributes, similar low density but tougher second-phase nano-scale materials such as graphene and carbon nanotubes have been incorporated within the matrix structure. 2D graphene as a nanofiller possesses superior mechanical properties such as higher strength and stiffness, which has the potential to improve the physical and mechanical properties of ceramics [3]. Several literatures have reported that the enhancement of mechanical properties of alumina and other ceramic-based composites with relatively smaller amounts of graphene (up to 1.0wt%) [4]. Despite the enormous improvement of mechanical properties in alumina-graphene composites, other reports have suggested that the inclusion of graphene diminishes the mechanical properties such as hardness, fracture toughness and wear properties [5]. For instance, Porwal et al reported a decrease in the fracture toughness value of alumina-graphene nanocomposites with higher content of graphene (2–5 vol%) as compared to the lower amounts (order of 0.2–0.8vol%). In their work, the elastic modulus also decreased by about 15% with the addition of 5vol% graphene due to the high network of interconnected graphene nanofillers which also resulted in large defects [6]. Therefore, there still exists a need to further investigate the influence of graphene additions in ceramic alumina structures. Thus, in this study, an attempt has been made to produce alumina nanocomposite reinforced with a lower concentration (0.5wt%) of nanoscale graphene using colloidal mixing followed by hot-pressing process at 1600oC under applied pressure of 60MPa. The effect of graphene on matrix, as well as the relationship between grain structure and mechanical properties including micro-hardness, bending strength, fracture toughness (KIC), young modulus (E) and critical energy release rate (GIC) were studied. Fractured surfaces of both monolithic alumina and alumina-0.5wt%graphene were analyzed using the high-resolution field-emission scanning electron microscope (FE-SEM, Quanta-3D). The toughening mechanisms of alumina and alumina-0.5wt%graphene and the mechanism of fracture were also studied. Table 1 shows the variation of the grain sizes of the fabricated nanocomposites. Figure 1(a) also reveals the grain distribution histogram which demonstrates finer grain structure with the addition of 0.5wt%graphene as compared to the typical coarse grain matrix depicted by the monolithic Al2O3. This is due to the limited diffusion of the matrix by the presence of the graphene layer at Al2O3 boundary during sintering. Figure 1(b) also illustrates the nanomechanical properties of the nanocomposites with regards to the grains and the grain boundary distribution using the atomic force microscopy (AFM). The modulus map showed regions of higher stiffness within the grains, whereas the grain boundaries exhibited relatively lower stiffness. An average value of the elastic modulus from the map was recorded as ∼390GPa per the modulus map color scale, which also showed an increase in elastic modulus relative to the monolithic alumina. Table 1 also illustrates the mechanical properties of the fabricated samples. Figure 2a shows the graph of the calculated fracture toughness of the Al2O3 and Al2O3/GN samples from indentation and single edge notched beam (SENB) tests. About 111% and 163% increase in the fracture toughness value resulted from both the SENB and indentation fracture toughness (IFT) tests respectively. This was mainly due to the refined grain structure and various toughening mechanisms demonstrated by the uniformly distributed graphene. The bending strength and estimated critical energy were also superior for the Al2O3/GN sample as compared to the parent Al2O3 (Table 1). This is ascribed to the high energy accumulation and load transfer capabilities of the reinforced graphene structures during the bending tests. Fractured surfaces of Al2O3 and Al2O3/GN further demonstrate the grain structure and various modes of fracture during the bending tests. Typical fracture modes such as intergranular and transgranular fractures are illustrated by the micrographs in Figure 2b and 2c. The Al2O3/GN showed both intergranular and transgranular fracture modes. The transgranular fracture occurred at sites with wrapped tough graphene material at the grain boundaries which prevents crack propagation through the boundary. Crack is then propagated through the matrix grains to cause fracture. Intergranular fracture is also shown by the removal of matrix grains as cracks move along the boundaries during bending. Mechanical properties of alumina and alumina-0.5wt%graphene nanocomposites (a) Grain size distribution of Al2O3/GN nanocomposite (b) Atomic Force Microscopy (AFM) of Al2O3/GN nanocomposite showing topographical (height) and elastic modulus maps. (a)Influence of graphene on fracture toughness (KIC) (b) Fractured surface of monolithic alumina depicting intergranular fracture mode (c) intergranular and transgranular fracture of Al2O3/GN

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,015
Score d'incertitude au seuil0,564

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,011
Tête enseignante GPT0,275
Écart entre enseignants0,265 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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