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Acoustic cavitation measurements and modeling in liquid aluminum

Acoustic cavitation measurements and modeling in liquid aluminum

Tzanakis, Iakovos, Lebon, Gerard Serge Bruno, Subroto, Tungky, Eskin, Dmitry and Pericleous, Koulis ORCID: 0000-0002-7426-9999 (2019) Acoustic cavitation measurements and modeling in liquid aluminum. In: Light Metals 2019. The Minerals, Metals & Materials Series . Springer, Cham, Switzerland, pp. 1533-1538. ISBN 978-3030058647 ISSN 2367-1181 (Print), 2367-1696 (Online) (doi:https://doi.org/10.1007/978-3-030-05864-7_193)

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Abstract

The quantification of acoustic pressures in liquid metals is of paramount interest for the optimization of ultrasonic melt treatment (UST) of large volumes. Until recently, the measurements of acoustic pressure and cavitation intensity in a melt were cumbersome and unreliable due to the high temperatures and the lack of suitable instruments. These difficulties imposed strict limitations on the experimental and numerical investigation of cavitation and bubble dynamics within liquid metals. In recent years, our group used a unique calibrated high temperature cavitometer to measure cavitation activity and acoustic pressures in liquid aluminum. Phenomena such as acoustic attenuation, shielding, and cavitation intensity have been studied. These measurements were also used to validate a non-linear acoustic numerical model applicable to flow in bubbly liquids subject to acoustic cavitation. Both experimental and numerical characterization of the acoustic and flow fields provides a powerful tool to optimize cavitation processing in liquid metals.

Item Type: Conference Proceedings
Title of Proceedings: Light Metals 2019
Uncontrolled Keywords: acoustic pressure, cavitation intensity, ultrasonic melt processing, aluminum
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
Last Modified: 30 Jan 2020 11:04
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/26791

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