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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, G. S. Bruno, Pericleous, Koulis ORCID: 0000-0002-7426-9999, Tzanakis, Iakovos and Eskin, Dmitry (2016) A model of cavitation for the treatment of a moving liquid metal volume. International Journal of Cast Metals Research, 29 (5). pp. 324-330. ISSN 1364-0461 (Print), 1743-1336 (Online) (doi:

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A homogeneous cavitation model, derived from the Keller–Miksis equation, is developed and applied to the two-phase problem of bubble growth, break-up and propagation in the melt. Numerical simulations of the ultrasonic field emanating from an immersed sonotrode 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 the residence time of the liquid in high cavitation activity regions. The simulation results demonstrate that dimensions that match integer wavelengths, and are therefore in resonance with the travelling waves, are desirable since they lead to an increase in the concentration of nucleating bubbles in the liquid compared with other dimensions.

Item Type: Article
Additional Information: Extended version of paper published in TMS proceedings.
Uncontrolled Keywords: Cavitation modelling, Ultrasonics, Liquid aluminium, Homogeneous cavitation, Ultrasonic melt treatment
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 02 Mar 2019 15:53
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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