Pericleous, Kyriacos A ORCID: 0000-0002-7426-9999 , Bojarevics, Valdis ORCID: 0000-0002-7326-7748 , Djambazov, Georgi ORCID: 0000-0001-8812-1269 , Dybalska, Agnieszka, Griffiths, William D and Tonry, Catherine E. H. ORCID: 0000-0002-8214-0845 (2019) Alloy grain refinement by means of electromagnetic vibrations. In: Proceedings of the Liquid Metal Processing & Casting Conference. The Minerals, Metals & Materials Society (TMS), UK, pp. 507-516. ISBN 0-87339-771-1

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Abstract

A tuned electromagnetic induction coil generates ultrasonic pressure waves is an alloy melt. Under acoustic resonance conditions, cavitation of dissolved gases is observed leading to microstructure refinement and dispersion of added particles. The method as an alternative to the immersed sonotrode technique offers several advantages. Being contactless, it can be applied equally to high temperature or reactive melts, avoiding contamination due to probe erosion; consequently, it is maintenance free. The consequent electromagnetic induction stirring means that larger volumes of melt can be treated (a major limitation of the traditional method), as the liquid is forced to pass repeatedly through zones of cavitation activity. The coil configuration used depends on application. Here, a top conical coil immersed in aluminium melt (contactless due to EM repulsion) was used. Simulations of sound, flow and EM fields are given, compared with experiments and indicating strong stirring, evidence of cavitation and grain refinement.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of the Liquid Metal Processing & Casting Conference
Additional Information:	'Top conference paper' runner up.
Uncontrolled Keywords:	ultrasonic melt treatment, electromagnetic vibration, gas cavitation
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) 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 13:06
URI:	http://gala.gre.ac.uk/id/eprint/25203

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