2015
DOI: 10.1007/s11661-015-2934-0
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Modeling the Break-up of Nano-particle Clusters in Aluminum- and Magnesium-Based Metal Matrix Nano-composites

Abstract: Aluminium and magnesium based metal matrix nanocomposites (MMNC) with ceramic nano-reinforcements promise low weight with high durability and superior strength, desirable properties in aerospace, automobile and other applications. However, nano-particle agglomerations lead to adverse effects on final properties: large-size clusters no longer act as dislocation anchors, but instead become defects; the resulting particle distribution will be uneven, leading to inconsistent properties. To prevent agglomeration an… Show more

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Cited by 12 publications
(15 citation statements)
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“…In order to simulate the dynamic process of breaking up of nanoparticle clusters [139,140] during ultrasonic cavitation, mesoscopic-scale modeling based on multiphase (fluid and solid) granular flow model [141][142][143] have been developed. For example, modeling with the coupling of computational fluid dynamics (CFD) and discrete element method (DEM) has been carried out for a number of nanocomposite systems, including aluminum-and magnesium-based alloys with the addition of SiC or Al 2 O 3 nanoparticles [139]. The DEM-CFD modeling demonstrates that the high velocity pulses caused by the collapsing of cavitation gas bubbles during the ultrasonic treatment are capable of breaking up the agglomerates [139].…”
Section: Cavitation In Molten Metal-nanoparticle Composite Systemsmentioning
confidence: 99%
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“…In order to simulate the dynamic process of breaking up of nanoparticle clusters [139,140] during ultrasonic cavitation, mesoscopic-scale modeling based on multiphase (fluid and solid) granular flow model [141][142][143] have been developed. For example, modeling with the coupling of computational fluid dynamics (CFD) and discrete element method (DEM) has been carried out for a number of nanocomposite systems, including aluminum-and magnesium-based alloys with the addition of SiC or Al 2 O 3 nanoparticles [139]. The DEM-CFD modeling demonstrates that the high velocity pulses caused by the collapsing of cavitation gas bubbles during the ultrasonic treatment are capable of breaking up the agglomerates [139].…”
Section: Cavitation In Molten Metal-nanoparticle Composite Systemsmentioning
confidence: 99%
“…For example, modeling with the coupling of computational fluid dynamics (CFD) and discrete element method (DEM) has been carried out for a number of nanocomposite systems, including aluminum-and magnesium-based alloys with the addition of SiC or Al 2 O 3 nanoparticles [139]. The DEM-CFD modeling demonstrates that the high velocity pulses caused by the collapsing of cavitation gas bubbles during the ultrasonic treatment are capable of breaking up the agglomerates [139]. The deagglomeration is highly dependent on the interfacial energy between nanoparticles and liquid metals, the duration and the maximum value of the velocity pulse, as well as the size of the nanoparticle agglomerates [139,140].…”
Section: Cavitation In Molten Metal-nanoparticle Composite Systemsmentioning
confidence: 99%
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“…It is considered to be the driving force behind the formation of particle clusters. The model [22,23] used in this study ( Figure 1) is based on that of Reference 21.…”
Section: E Particle-particle Forcesmentioning
confidence: 99%
“…This research is focused on developing the computational model of interacting particles and particle clusters suspended in liquid metals. The application of such model includes manufacturing of metal-matrix composites (MMC), where understanding of the forces acting on particles is required to prevent the formation of clusters and to disperse the reinforcing particles evenly in the volume of metal melt [1], [2]. Another application is removing the contaminants from liquid metal [3]- [5] which can be achieved by combining electro-magnetic (EM) stirring with EM expulsion owing to the fact that the metal is liquid and electrically conducting while the contaminants are solid and non-conducting.…”
Section: Introductionmentioning
confidence: 99%