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Modelling the deagglomeration of nanoparticle inclusions by ultrasonic melt processing

Modelling the deagglomeration of nanoparticle inclusions by ultrasonic melt processing

Manoylov, Anton, Djambazov, Georgi ORCID: 0000-0001-8812-1269, Lebon, Gerard S. B. and Pericleous, Koulis ORCID: 0000-0002-7426-9999 (2017) Modelling the deagglomeration of nanoparticle inclusions by ultrasonic melt processing. In: 24th International Congress on Sound and Vibration 2017 (ICSV 24). Curran Associates, New York, USA, pp. 1812-1820. ISBN 978-1510845855

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Abstract

The aerospace and automotive industries are seeking advanced materials with low weight-to-strength ratio, such as light alloy-based metal matrix composites (MMC) with nanoparticle rein-forcements. However, van der Waals and adhesive forces between nanoparticles result in large agglomerates that compromise the final properties of MMCs. Ultrasonic melt processing is a potential technology for de-agglomerating these clusters and producing samples with improved properties via grain refinement. This paper considers two hypotheses of cluster de-agglomeration: the breakup of a cluster due to the growth of gas contained in the cluster and the stripping of nanoparticles by pulsating neighbouring bubbles.

Item Type: Conference Proceedings
Title of Proceedings: 24th International Congress on Sound and Vibration 2017 (ICSV 24)
Additional Information: 24th International Congress on Sound and Vibration 2017 (ICSV 24) was held from 23-27 July, London, United Kingdom.
Uncontrolled Keywords: acoustic cavitation, particle de-agglomeration, light alloy melts
Subjects: Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Related URLs:
Last Modified: 04 Mar 2022 13:07
URI: http://gala.gre.ac.uk/id/eprint/28767

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