Wear behavior of metal matrix nanocomposites

Ghahremani, Ahmad; Abdullah, Amir; Arezoodar, Alireza Fallahi

doi:10.1016/j.ceramint.2022.09.273

Cited by 15 publications

(12 citation statements)

References 159 publications

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“…11,[13][14][15][16][17] As was previously stated, wear is one of the key characteristics of MMCs that has to be taken into consideration. 18 As a result, the lack of wear resistance of the component results in failure and significant damage, depreciating the composite. 19,20 Using hard particles that are evenly distributed in the matrix, which increases wear resistance, is one of the typical methods for preventing wear in Al-MMCs.…”

Section: Introductionmentioning

confidence: 99%

“…The improvement in wear in MMCs created by the ARB process is based on cycle ARB, which can be deduced from the research that has been done thus far. 13,18 The number of ARB cycles has a direct correlation with the improvement of wear in composite samples; thus, increasing the cycle leads to grain refinement, which enhances hardness and strength and, in turn, has a direct correlation with wear and decreases its rate. 13,34 On the other side, increasing the ARB process cycle results in a homogeneous distribution of reinforcing particles in the composite matrix, which refines debris during wear tests and reduces the wear rate.…”

Section: Introductionmentioning

confidence: 99%

“…19,20 Using hard particles that are evenly distributed in the matrix, which increases wear resistance, is one of the typical methods for preventing wear in Al-MMCs. 18,19,21,22…”

Section: Introductionmentioning

confidence: 99%

“…19,20 Using hard particles that are evenly distributed in the matrix, which increases wear resistance, is one of the typical methods for preventing wear in Al-MMCs. 18,19,21,22 Carbides, such as tungsten carbide (WC), 23,24 titanium carbide (TiC), 25,26 silicon carbide (SiC), [27][28][29] and boride carbide (B 4 C), 30 are among the materials that are frequently employed to improve the wear resistance of MMCs. One of the most popular carbides utilized by researchers to improve the wear resistance of aluminum is SiC.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…19,20 Using hard particles that are evenly distributed in the matrix, which increases wear resistance, is one of the typical methods for preventing wear in Al-MMCs. 18,19,21,22…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

View full text Add to dashboard Cite

show abstract

“…MMCs are developing towards ultra-lightweight, wear resistance, and chemical resistance [12]. In MMCs, aluminum matrix composites (AMCs) possessing low density, superior strength, high wear resistance, and high modulus have been used in the automotive, aerospace, defense, and military fields [13][14][15]. As a structural material, how to further improve the strength and corrosion resistance of AMCs is an increasingly important research topic.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Property and Corrosion Behavior of Powder-Metallurgy-Processed 3D Graphene-Networks-Reinforced Al Matrix Composites

et al. 2023

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Three-dimensional graphene networks (3DGN) have the potential to be used as a reinforcement for aluminum matrix composites due to their unique wrinkled structure and cost-effectiveness. In this work, the mechanical properties and corrosion resistance of 3DGN in Al matrix were systematically investigated. 3DGN/Al composites with weight ratios of 0, 0.075, 0.150, 0.225, and 0.300 3DGN were prepared by powder metallurgy following by ball mill and spark plasma sintering. Results revealed that the densification of 3DGN/Al composites slightly decreases with the increase of 3DGN content. Increased hardness without loss of ductility was recorded compared to the pure aluminum sample prepared under the same experimental conditions. 3DGN/Al composites exhibit higher corrosion currents density than that of pure aluminum, which shows that the addition of 3DGN reinforcement aggravates the corrosion of aluminum. This study can be used as a reference for future research on the effect of graphene on the various properties of graphene-reinforced aluminum matrix composites.

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Advances in the Science and Engineering of Metal Matrix Nanocomposites: A Review

Cao,

Killips,

2024

Adv Eng Mater

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Metal matrix nanocomposites (MMNCs) are an emerging class of metals with nanosized reinforcements and have been investigated extensively in recent decades due to their promising properties for widespread applications such as aerospace, automotive, biomedical, and electronics. In this article, a comprehensive review is presented on the science and engineering aspects of MMNCs, especially the processing, microstructures, and properties of MMNCs. Common processing and manufacturing approaches and post‐processing of MMNCs are discussed. Recent advances in the unusual mechanical, physical, and chemical properties of MMNCs are reviewed. Furthermore, the latest progress on the fundamental study of interactions between nanoparticles and metals, including dispersion, pushing, and engulfment during solidification, nucleation, and phase control, is presented. It is worth noting that the exciting opportunities of nanotechnology‐enabled metallurgy (nanotech metallurgy), which have grown out of the domain of MMNCs recently, are also presented briefly.

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Wear behavior of metal matrix nanocomposites

Cited by 15 publications

References 159 publications

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

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

Mechanical Property and Corrosion Behavior of Powder-Metallurgy-Processed 3D Graphene-Networks-Reinforced Al Matrix Composites

Advances in the Science and Engineering of Metal Matrix Nanocomposites: A Review

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