Pericleous, Koulis 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 ORCID: 0000-0002-8214-0845 (2019) Contactless ultrasonic cavitation in alloy melts. Materials, 12 (21):3610. ISSN 1996-1944 (doi:https://doi.org/10.3390/ma12213610)

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Abstract

A high frequency tuned electromagnetic induction coil is used to induce ultrasonic pressure waves leading to cavitation in alloy melts. This presents an alternative ‘contactless’ approach to conventional immersed probe techniques. The method can potentially offer the same benefits of traditional ultrasonic treatment (UST) such as degassing, microstructure refinement and dispersion of particles, but avoids melt contamination due to probe erosion prevalent in immersed sonotrodes, and it can be used on higher temperature and reactive alloys. An added benefit is that the induction stirring produced by the coil, enables a larger melt treatment volume. Model simulations of the process are conducted using purpose-built software, coupling flow, heat transfer, sound and electromagnetic fields. Modelling results are compared against experiments carried out in a prototype installation. Results indicate strong melt stirring and evidence of cavitation accompanying acoustic resonance. Up to 63% of grain refinement was obtained in commercial purity (CP-Al) aluminium and a further 46% in CP-Al with added Al–5Ti–1B grain refiner.

Item Type:	Article
Additional Information:	This article belongs to the Special Issue Ultrasonic Cavitation Treatment of Metallic Alloys
Uncontrolled Keywords:	ultrasonic treatment, contactless sonotrode, induction processing, grain refinement
Subjects:	Q Science > Q Science (General)
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/25920

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