Djambazov, G. ORCID: 0000-0001-8812-1269 , Bojarevics, V. ORCID: 0000-0002-7326-7748 , Shevchenko, D., Burnard, D., Griffiths, W. and Pericleous, K. A. ORCID: 0000-0002-7426-9999 (2017) Sensitivity of contactless ultrasound processing to variations of the free surface of the melt with induction heating. In: Hwang, Jiann-Yang, Jiang, Tao, William Kennedy, Mark, Yücel, Onuralp, Pistorius, P. Chris, Seshadri, Varadarajan, Zhao, Baojun, Gregurek, Dean and Keskinkilic, Ender, (eds.) 8th International Symposium on High-Temperature Metallurgical Processing. The Minerals, Metals & Materials Series . Springer International Publishing, pp. 289-298. ISBN 978-3-319-51339-3 (doi:https://doi.org/10.1007/978-3-319-51340-9_29)

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Abstract

Contactless ultrasound treatment can be useful for high-temperature or reactive alloys in the liquid state, where contact with an immersed vibrating probe is undesirable. The alternating component of the Lorentz force can generate sound pressure levels leading to cavitation of gas bubbles in the melt, through acoustic resonance. Resonance is a function of the speed of sound in the liquid, the shape of the volume containing it and surrounding boundary conditions. Induction forces applied to a crucible lead to bulk stirring and in general deform the free surface, whose precise shape may influence the resonance conditions. This effect is investigated here by multi-physics computer modelling. Calculated results for aluminium melts are compared with experimental data and conclusions are drawn as to the sensitivity to process parameters and the reliability of this type of ultrasound metal processing.

Item Type:	Book Section
Additional Information:	Series ISSN: 2367-1181
Uncontrolled Keywords:	Ultrasound treatment; Liquid metal; Electromagnetic induction heating; Acoustic resonance; Cavitation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General)
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/16536

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