Effect of lattice structure evolution on the thermal and mechanical properties of Cu–Al2O3/GNPs nanocomposites

Khamaj, Abdulrahman; Farouk, W.M.; Shewakh, Walid Mahmoud; Abu-Oqail, Ahmed; Wagih, A.; Abu–Okail, Mohamed

doi:10.1016/j.ceramint.2021.02.219

Cited by 42 publications

(12 citation statements)

References 60 publications

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“…This can be attributed to the agglomeration of the reinforcements (GNPs and Al 2 O 3 ) in the resin matrix (see in Figure 5 b), which induces the stress concentration inside the composite and consequently impairs the mechanical properties of the fabricated composite. This implies that this condition is largely responsible for lowering the mechanical properties of the polymer reinforced with ceramics [ 33 ]. Consequently, the combination of the fiber fabrics, matrix, and nanoparticles has a significant benefit for developing unique mechanical properties.…”

Section: Discussionmentioning

confidence: 99%

“…Nanotechnology has the potential to produce new polymer composites, especially based on graphene nanoplatelets (GNPs) or carbon nanotubes (CNTs) [ 33 ]. The use of graphene nanoplatelets (GNPs) or CNT composites in future aeronautical structures will provide several benefits [ 33 ]. One of these benefits is low rotational inertia, which causes aeronautical structures to accelerate rapidly [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

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Synthesis and Characterization of Hybrid Fiber-Reinforced Polymer by Adding Ceramic Nanoparticles for Aeronautical Structural Applications

et al. 2021

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The multiscale hybridization of ceramic nanoparticles incorporated into polymer matrices reinforced with hybrid fibers offers a new opportunity to develop high-performance, multifunctional composites, especially for applications in aeronautical structures. In this study, two different kinds of hybrid fibers were selected, woven carbon and glass fiber, while two different ceramic nanoparticles, alumina (Al2O3) and graphene nanoplatelets (GNPs), were chosen to incorporate into a polymer matrix (epoxy resin). To obtain good dispersion of additive nanoparticles within the resin matrix, the ultrasonication technique was implemented. The microstructure, XRD patterns, hardness, and tensile properties of the fabricated composites were investigated here. Microstructural characterization demonstrated a good dispersion of ceramic nanoparticles of Al2O3 and GNPs in the fabricated composites. The addition of GNPs/Al2O3 nanoparticles as additive reinforcements to the fiber-reinforced polymers (FRPs) induced a significant increase in the hardness and tensile strength. Generally, the FRPs with 3 wt.% nano-Al2O3 enhanced composites exhibit higher tensile strength as compared with all other sets of composites. Particularly, the tensile strength was improved from 133 MPa in the unreinforced specimen to 230 MPa in the reinforced specimen with 3 wt.% Al2O3. This can be attributed to the better distribution of nanoparticles in the resin polymer, which, in turn, induces proper stress transfer from the matrix to the fiber phase. The hybrid mode mechanism depends on the interaction among the mechanical properties of fiber, the physical and chemical evolution of resin, the bonding properties of the fiber/resin interface, and the service environment. Therefore, the hybrid mode of woven carbon and glass fibers at a volume fraction of 64% with additive nanoparticles of GNPs/Al2O3 within the resin was appropriate to produce aeronautical structures with extraordinary properties.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synthesis and Characterization of Hybrid Fiber-Reinforced Polymer by Adding Ceramic Nanoparticles for Aeronautical Structural Applications

et al. 2021

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“…Finally, with any additional loading, the strength of composites substantially rises. 44,45 As previously noted, as the number of passes in the ARB process is increases, the distribution of the reinforcement particles (SiC) becomes uniform and the quantity of porosity decreases, which eventually affects the hardness. This is due to the presence of SiC particles in the AA1050 matrix.…”

Section: Hardness Evolutionmentioning

confidence: 92%

A modified artificial neural network to predict the tribological properties of Al-SiC nanocomposites fabricated by accumulative roll bonding process

Najjar

Sadoun

Ibrahim

et al. 2023

Journal of Composite Materials

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This work highlights the major influence of SiC concentration and plastic deformation on boosting wear rates of aluminum composites supplemented with SiC particles comprising varied volume fractions (0–4%). It also shows how a basic neural network model augmented with a particle swarm optimizer can forecast wear rates and coefficients of friction for complicated composites. According to the experimental findings, increasing the quantity of accumulative roll bonding (ARB) enhances SiC particle dispersion homogeneity. Increasing the number of cycles and introducing additional SiC particles helped to reduce the wear rate and increase the friction coefficient. After nine ARB cycles, the Al-4 wt.% SiC nanocomposite had the best improvement in both wear rate and friction coefficient. The same sample was also used in efforts to enhance the characteristics of hardness, and it was selected as having the highest level of hardness, which has grown by 139%. All of the generated composites evaluated at four different wear loads were able to be predicted by the proposed model with great accuracy, with determination coefficient R2 values of 0.9768 and 0.9869 for the frictional coefficient and wear rates, respectively.

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“…According to microstructure observations in figure 7, by SEM it can be noted that, the grain formed and elongated, this due to several items (i) Post weld heat treatment (ii) redistributions of the grains (good homogeneity) (iii) the appearance of dissimilar grains.Finally according to SEM, there are good connections between matrix and reinforcement elements [13,14], this is due to PWHT conditions.…”

Section: Macro and Microstructural Analysis Of Produced Jointsmentioning

confidence: 95%

An investigation of post-weld heat treatment of friction stir welded aluminium blanks AA2024 embedded with AA7075

Saad

Ibrahem

Abu–Okail

et al. 2022

J. Phys.: Conf. Ser.

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This article is focused main problem during and after FSW especially when joining blanks AA2024 embedded with interlayer strip widths AA7075, in microstructure of the welded zone, that will in turn affect its mechanical properties of the welded joints. So, a number of interlock strip widths of AA7075 as 1, 1.5, 2, 2.5 and 3 mm were added between two substrates of base metal AA2024 during FSW technique then followed heating and cooling procedures to incorporate into the heat treatment process, which is conducted to create changes in a material’s microstructure that will in turn affect its mechanical properties. The analyses by optical microscope and scanning electron microscope were used to clarify microstructural characterization of FSWed with interlock strip widths after PWHTed. On the other hand, the microhardness and tensile tests were performed to determine mechanical properties of FSWed with interlock strip widths after PWHTed. The observations of microstructural elucidated that the good bonding connection between interlayer strip widths AA7075 and base metal AA2024 was due to use the procedures of PWHT. The mechanical properties such as microhardness and tensile of produced joints with PWHTed were showed higher than without PWHTed. Specifically, the ultimate tensile strength, and hardness values of the post-heat joint when using 3mm interlayer strip were obtained the highest values 299MPa, 186 HV respectively. This presents improvement by 11.2% in tensile strength, and 84% in hardness, compared to as weld joint.

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Effect of lattice structure evolution on the thermal and mechanical properties of Cu–Al2O3/GNPs nanocomposites

Cited by 42 publications

References 60 publications

Synthesis and Characterization of Hybrid Fiber-Reinforced Polymer by Adding Ceramic Nanoparticles for Aeronautical Structural Applications

Synthesis and Characterization of Hybrid Fiber-Reinforced Polymer by Adding Ceramic Nanoparticles for Aeronautical Structural Applications

A modified artificial neural network to predict the tribological properties of Al-SiC nanocomposites fabricated by accumulative roll bonding process

An investigation of post-weld heat treatment of friction stir welded aluminium blanks AA2024 embedded with AA7075

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