Skip navigation

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

[img]
Preview
PDF (Published Conference Proceeding)
28767 PERICLEOUS_Modelling_the_Deagglomeration_of_Nanoparticle_Inclusions_2017.pdf - Published Version

Download (827kB) | Preview

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 / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Liberal Arts & Sciences > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Liberal Arts & Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 28 Jul 2020 23:39
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/28767

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics