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Comparison of cavitation intensity in water and in molten aluminium using a high-temperature cavitometer

Comparison of cavitation intensity in water and in molten aluminium using a high-temperature cavitometer

Tzanakis, I., Lebon, G. S. B., Eskin, D. G. and Pericleous, K. ORCID: 0000-0002-7426-9999 (2015) Comparison of cavitation intensity in water and in molten aluminium using a high-temperature cavitometer. Journal of Physics: Conference Series, 656 (1):012120. pp. 1-4. ISSN 1742-6588 (Print), 1742-6596 (Online) (doi:https://doi.org/10.1088/1742-6596/656/1/012120)

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Abstract

The application of ultrasound to industrial casting processes has attracted research interest during the last 50 years. However, the transfer and scale-up of this advanced and promising technology to the industry have been hindered by difficulties in treating large volumes of liquid metal due to the lack of understanding of certain fundamentals. In the current study, experimental results on ultrasonic processing in deionised water and in liquid aluminium (Al) are reported. Cavitation activity was determined in both liquid environments using an advanced high-temperature cavitometer sensor. In water, the highest cavitation activity is obtained for the lowest sonotrode tip amplitudes. Below the sonotrode, the cavitation intensity in liquid aluminium is found to be four times higher than in water.

Item Type: Article
Additional Information: Open Access to this work has been provided under the terms of the Creative Commons Attribution 3.0 Licence (CC BY 3.0)
Uncontrolled Keywords: Cavitation; Ultrasonic melt processing; Bubble dynamics
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
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: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/14194

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