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A model of cavitation for the treatment of a moving liquid metal volume

A model of cavitation for the treatment of a moving liquid metal volume

Lebon, Gerard S. B., Pericleous, Kyriacos ORCID: 0000-0002-7426-9999, Tzanakis, Iakovos and Eskin, Dmitry (2015) A model of cavitation for the treatment of a moving liquid metal volume. In: Advances in the Science and Engineering of Casting Solidification: An MPMD Symposium Honoring Doru Michael Stefanescu. TMS-Wiley, USA, pp. 23-30. ISBN 9781119082385

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Abstract

Ultrasonic cavitation is known to improve significantly the downstream properties and quality of metallic materials. The transfer of this technology to industry has however been hindered by difficulties in treating large volumes of liquid metal. To improve understanding of cavitation efficiency so that it can be applied to a moving melt volume, an improved cavitation model derived from the Keller-Miksis equation is developed, and applied to the two-phase problem of bubble breakup and propagation in the melt. Numerical simulations of the ultrasonic field are performed and the calculated acoustic pressure is applied to the source term of the bubble transport equation to predict the generation, propagation, and collapse of cavitation bubbles in the melt. The use of baffles to modify the flow pattern and amplify sound waves in a launder conduit is examined, to determine the optimum configuration that maximizes residence time of the liquid in high cavitation activity regions.

Item Type: Conference Proceedings
Title of Proceedings: Advances in the Science and Engineering of Casting Solidification: An MPMD Symposium Honoring Doru Michael Stefanescu
Uncontrolled Keywords: Cavitation modeling, Ultrasonics, Light-metal alloys
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: 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
Last Modified: 04 Mar 2022 13:07
URI: http://gala.gre.ac.uk/id/eprint/13341

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