Exploiting the synergic strengthening effects of stacking faults in carbon nanotubes reinforced aluminum matrix composites for enhanced mechanical properties

Guo, Baisong; Song, Min; Zhang, Xin Ming; Liu, Yangzhen; Cen, Xi; Chen, Biao; Li, Wei

doi:10.1016/j.compositesb.2021.108646

“…Guo et al [107] investigated the synergic strengthening effects of stacking faults in carbon nanotube-reinforced aluminum matrix composites on enhanced mechanical properties. The results also demonstrate that with the increase in CNT volume fraction, the contributions of grain refinement, Orowan looping, load transfer, and stacking fault to the experimentally improved yield strength all monotonically increase, resulting in the obtaining of better mechanical properties.…”

Section: Contributions Of the Different Strengthening Mechanismsmentioning

confidence: 99%

Strengthening Mechanisms in Carbon Nanotubes Reinforced Metal Matrix Composites: A Review

Carneiro

¹

,

Simões

²

2021

Metals

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Carbon nanotubes (CNTs)-reinforced metal matrix composites are very attractive advanced nanocomposites due to their potential unusual combination of excellent properties. These nanocomposites can be produced by several techniques, the most reported being powder metallurgy, electrochemical routes, and stir or ultrasonic casting. However, the final mechanical properties are often lower than expected. This can be attributed to a lack of understanding concerning the strengthening mechanisms that act to improve the mechanical properties of the metal matrix via the presence of the CNTs. The dispersion of the CNTs is the main challenge in the production of the nanocomposites, and is independent of the production technique used. This review describes the strengthening mechanism that act in CNT-reinforced metal matrix nanocomposites, such as the load transfer, grain refinement or texture strengthening, second phase, and strain hardening. However, other mechanisms can occur, such as solid solution strengthening, and these depend on the metal matrix used to produce the nanocomposites. Different metallic matrices and different production techniques are described to evaluate their influence on the reinforcement of these nanocomposites.

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“…make it a better choice for materials such as polymer composites. In respect to other metal matrix composites, aluminum matrix composites (AMCs) have always been a better choice because of their corrosion resistance property, low density, good thermal conductivity, and low cost of production (Xie et al, 2021;Guo et al, 2021;Zhu et al, 2021;Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Using the Acheson process, some of these synthetic materials like silicon carbide (SiC) are prepared where silica sand and carbon are charged in the electric furnace-based reactors as source materials (Raj, 2021). These processing techniques and the availability of these raw materials are a challenge in developing countries even though other authors have reported alternate processing methods like powder mixing, chemical vapor deposition, carbothermal reduction of silica, sol-gel processes, and also laser pyrolysis (Guo et al, 2021;Salur et al, 2021;Adediran et al, 2021). But all these methods also entail the use of advanced processing equipment which are not readily available in developing countries.…”

Section: Introductionmentioning

confidence: 99%

Production and Wear Optimization of an MSSA Reinforced Al-Si-Mg Composite: A Taguchi Approach

OCHUOKPA¹,

Yawas²,

Sumaila³

et al. 2022

Preprint

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In this study, Al-Si-Mg-MSSA composite is produced by reinforcing the aluminum alloy with mango seed shell ash (MSSA). For the development parameters of stirring time, processing temperature, MSSA content, and MSSA particle size, Taguchi design of experiment was employed for the optimization of the wear properties of the developed composites. The optimal wear rate of the MSSA reinforced Al-Si-Mg composite was obtained to be 0.001517mm3/N/m at stirring time, processing temperature, MSSA content, and particle size of 60s, 720℃, 20%, and 25µm. Analysis of variance also proved the significance of MSSA particles in the reduction of the wear rate of Al-Si-Mg alloys. The wear behavior of the developed composite was successfully modeled using regression analysis with a prediction accuracy of 90.32%.

show abstract

“…make it a better choice for materials such as polymer composites. In respect to other metal matrix composites, aluminum matrix composites (AMCs) have always been a better choice because of their corrosion resistance property, low density, good thermal conductivity, and low cost of production (Xie et al, 2021;Guo et al, 2021;Zhu et al, 2021;Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Using the Acheson process, some of these synthetic materials like silicon carbide (SiC) are prepared where silica sand and carbon are charged in the electric furnace-based reactors as source materials (Raj, 2021). These processing techniques and the availability of these raw materials are a challenge in developing countries even though other authors have reported alternate processing methods like powder mixing, chemical vapor deposition, carbothermal reduction of silica, sol-gel processes, and also laser pyrolysis (Guo et al, 2021;Salur et al, 2021;Adediran et al, 2021). But all these methods also entail the use of advanced processing equipment which are not readily available in developing countries.…”

Section: Introductionmentioning

confidence: 99%

Production and wear optimization of an MSSA-reinforced Al–Si–Mg composite: a Taguchi approach

Ochuokpa

¹

,

Yawas

²

,

Sumaila

³

et al. 2022

Int J Adv Manuf Technol

2

0

View full text Add to dashboard Cite

In this study, Al-Si-Mg-MSSA composite is produced by reinforcing the aluminum alloy with mango seed shell ash (MSSA). For the development parameters of stirring time, processing temperature, MSSA content, and MSSA particle size, Taguchi design of experiment was employed for the optimization of the wear properties of the developed composites. The optimal wear rate of the MSSA reinforced Al-Si-Mg composite was obtained to be 0.001517mm 3 /N/m at stirring time, processing temperature, MSSA content, and particle size of 60s, 720℃, 20%, and 25µm. Analysis of variance also proved the signi cance of MSSA particles in the reduction of the wear rate of Al-Si-Mg alloys. The wear behavior of the developed composite was successfully modeled using regression analysis with a prediction accuracy of 90.32%.

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Exploiting the synergic strengthening effects of stacking faults in carbon nanotubes reinforced aluminum matrix composites for enhanced mechanical properties

Cited by 77 publications

References 48 publications

Strengthening Mechanisms in Carbon Nanotubes Reinforced Metal Matrix Composites: A Review

Strengthening Mechanisms in Carbon Nanotubes Reinforced Metal Matrix Composites: A Review

Production and Wear Optimization of an MSSA Reinforced Al-Si-Mg Composite: A Taguchi Approach

Production and wear optimization of an MSSA-reinforced Al–Si–Mg composite: a Taguchi approach

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