Influence of Al2O3 Nanoparticles Addition in ZA-27 Alloy-Based Nanocomposites and Soft Computing Prediction

Vencl, Aleksandar; Svoboda, Petr; Klančnik, Simon; But, Adrian; Vorkapić, Miloš; Harničárová, Marta; Stojаnović, Blaža

doi:10.3390/lubricants11010024

Cited by 11 publications

(4 citation statements)

References 15 publications

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“…Poor ductility is a result of hard yet brittle ceramic reinforcement phases and the undesired formation of micron-size reinforcements as these materials are processed. To compensate this drawback, inclusions of light metal matrix nanocomposites (MMnCs) have been tested by several researchers under varying amounts and sizes to reach the desired outcome and maintain adequate ductility [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Swarm intelligence algorithms for optimising sliding wear of nanocomposites

Fountas,

Kechagias,

Vaxevanidis

2024

trobomat

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This paper presents simulation results obtained by a set of modern algorithms adhering to swarm intelligence for minimising wear rate in the case of A356/Al2O3 nanocomposites produced using a compocasting process. Grey wolf optimisation (GWO) algorithm, moth-flame optimisation (MFO) algorithm, dragonfly algorithm (DA) and whale optimisation algorithm (WOA) were the algorithms under examination. A full quadratic regression equation that predicts wear rate, as the optimisation objective by considering reinforcement content, sliding speed, normal load and reinforcement size as the independent process parameters, was utilised as the objective function. Simulation results obtained by the selected algorithms were quite promising in terms of fast convergence and global optimum result arrival, thus prompting to further investigation of applying swarm intelligence to general problem-solving aspects related to tribology.

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Section: Introductionmentioning

confidence: 99%

Swarm intelligence algorithms for optimising sliding wear of nanocomposites

Fountas,

Kechagias,

Vaxevanidis

2024

trobomat

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“…Particulate reinforced aluminum alloy composites, for instance, have demonstrated notable enhancements in tribological properties like sliding and abrasion wear resistance, as well as seizure resistance . Vencl and co-authors investigated the wear behavior of 0.2, 0.3, and 0.5 wt % of alumina particle-reinforced ZA-27 alloy composites. The primary objective of the study was to examine the effect of adding a negligible amount of Al 2 O 3 nanoparticles on the wear resistance of the ZA-27 alloy, as well as the effect of the nanoparticles’ size.…”

Section: Introductionmentioning

confidence: 99%

Influence of Graphite Particles on the Mechanical and Wear Characterization of Al6082 Alloy Composites

Somayaji,

Nagaral,

Anjinappa

et al. 2023

ACS Omega

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In the current study, a two-stage stir cast process was used to produce Al6082 reinforced with sized graphite particulates, and the material’s mechanical and tribological properties were analyzed. The graphite content in the Al6082 alloy was increased from 2 to 6% in steps of 2 wt %. The impact of graphite addition to Al6082 was evaluated using microstructural micrographs, hardness test, tensile test, and wear test outcomes. The matrix alloy’s microstructure and particle distribution were analyzed using scanning electron microscopy and energy-dispersive spectroscopy. The microstructure of Al6082 shows that the reinforcement particles are evenly distributed throughout the matrix. Although the hardness of metal–matrix composites was slightly reduced when graphite was added at concentrations of up to 6 wt %, the material’s tensile strength and wear resistance were significantly improved. Micrographs taken by a microscope were used to examine the fractured surfaces of tensile test specimens. Wear experiments were performed using a conventional pin-on-disc tribometer to examine the tribological properties of both unreinforced matrix and graphite composites. With the addition of 2, 4, and 6 wt % of graphite particles, the composites’ wear resistance was significantly improved. Wear of alloys and their composites was analyzed to determine how load and sliding speed impacted wear loss.

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“…Particulate reinforced aluminum alloy composites, for instance, have demonstrated notable enhancements in tribological properties like sliding and abrasion wear resistance, as well as seizure resistance. Aleksander and co‐authors 8 investigated the wear behavior of 0.2, 0.3, and 0.5 wt% of alumina particles reinforced ZA‐27 alloy composites. The primary objective of the study was to examine the effect of adding a negligible amount of Al 2 O 3 nanoparticles on the wear resistance of the ZA‐27 alloy, as well as the effect of the nanoparticles' size.…”

Section: Introductionmentioning

confidence: 99%

Impact of micro graphite particles addition on the mechanical behavior of Al2011 alloy metal composites

Raksha,

Basavalingappa,

Nagaral

et al. 2023

Engineering Reports

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Micron‐sized graphite particles additions to Al2011 alloy were investigated to know their impact on mechanical properties. The stir cast method was used to manufacture the Al2011 alloy with 2 and 4 wt% of graphite particles reinforced composites. The microstructural analysis and mechanical properties of the synthesized composites were tested. Scanning electron microscope (SEM) and energy dispersive spectroscopy (EDS) spectrums were used to characterize the microstructure of the samples that were obtained from the casting. SEM micrographs indicated the homogeneous distribution of particles and the EDS patterns confirmed the presence of graphite particles. Al2011 alloy hardness was decreased with the addition of graphite particles. Further, with the addition of 2 and 4 wt% of graphite particles in the Al2011 alloy, the ultimate tensile and yield strengths of composites were increased with increase in elongation. SEM micrographs of tensile fractured surfaces were used to study the various fractured behaviors in the Al2011 alloy‐graphite composites.

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Influence of Al2O3 Nanoparticles Addition in ZA-27 Alloy-Based Nanocomposites and Soft Computing Prediction

Cited by 11 publications

References 15 publications

Swarm intelligence algorithms for optimising sliding wear of nanocomposites

Swarm intelligence algorithms for optimising sliding wear of nanocomposites

Influence of Graphite Particles on the Mechanical and Wear Characterization of Al6082 Alloy Composites

Impact of micro graphite particles addition on the mechanical behavior of Al2011 alloy metal composites

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