Manoylov, Anton, Lebon, Bruno, Djambazov, Georgi ORCID: 0000-0001-8812-1269 and Pericleous, Koulis ORCID: 0000-0002-7426-9999 (2017) Coupling of acoustic cavitation with DEM-based particle solvers for modeling de-agglomeration of particle clusters in liquid metals. Metallurgical and Materials Transactions A, 48 (11). pp. 5616-5627. ISSN 1073-5623 (doi:https://doi.org/10.1007/s11661-017-4321-5)

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Abstract

The aerospace and automotive industries are seeking advanced materials with low weight yet high strength and durability. Aluminum and magnesium-based metal matrix composites with ceramic micro- and nano-reinforcements promise the desirable properties. However, larger surface-area-to-volume ratio in micro- and especially nanoparticles gives rise to van der Waals and adhesion forces that cause the particles to agglomerate in clusters. Such clusters lead to adverse effects on final properties, no longer acting as dislocation anchors but instead becoming defects. Also, agglomeration causes the particle distribution to become uneven, leading to inconsistent properties. To break up clusters, ultrasonic processing may be used via an immersed sonotrode, or alternatively via electromagnetic vibration. This paper combines a fundamental study of acoustic cavitation in liquid aluminum with a study of the interaction forces causing particles to agglomerate, as well as mechanisms of cluster breakup. A non-linear acoustic cavitation model utilizing pressure waves produced by an immersed horn is presented, and then applied to cavitation in liquid aluminum. Physical quantities related to fluid flow and quantities specific to the cavitation solver are passed to a discrete element method particles model. The coupled system is then used for a detailed study of clusters’ breakup by cavitation.

Item Type:	Article
Additional Information:	© The Author(s) 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords:	Liquid metals, Acoustic cavitation, DEM method, Particle deagglomeration
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group:	Faculty of Architecture, Computing & Humanities Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Architecture, Computing & Humanities > Department of Mathematical Sciences
Last Modified:	02 Mar 2019 15:53
Selected for GREAT 2016:	None
Selected for GREAT 2017:	None
Selected for GREAT 2018:	GREAT b
Selected for GREAT 2019:	None
URI:	http://gala.gre.ac.uk/id/eprint/17681

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