Beckwith, Christopher, Djambazov, Georgi ORCID: 0000-0001-8812-1269 and Pericleous, Kyriacos A ORCID: 0000-0002-7426-9999 (2023) Modelling contactless ultrasound treatment in a DC casting launder. In: Light Metals 2023. The Minerals, Metals & Materials Series - TMS: TMS Annual Meeting & Exhibition . Springer, Cham, Switzerland, pp. 980-988. ISBN 978-3031225314; 978-3031225321 (doi:https://doi.org/10.1007/978-3-031-22532-1_131)

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Abstract

Ultrasonic processing can be performed without a vibrating probe by electromagnetic induction with a suitable frequency where resonance conditions can be established. This contactless method is suitable for high-temperature or reactive metal alloys providing purity of the melt and durability of the equipment. Hydrogen bubbles coming out of solution grow by rectified diffusion, and larger bubbles escape from the top surface leading to degassing. Violent collapses of the remaining smaller bubbles help grain refinement. In this study, the application of a contactless ‘top-coil’ device to continuous casting via a launder is considered. Resonance is achieved by the positioning of baffles on either side of the coil. Electromagnetic forces also cause strong stirring, increasing residence time. The process is modelled using time domain and frequency domain methods, and results for the proposed setup are compared with data obtained for the immersed sonotrode. Accuracy and sensitivity to process and model parameters are discussed.

Item Type:	Conference Proceedings
Title of Proceedings:	Light Metals 2023
Uncontrolled Keywords:	Ultrasonic melt processing, Numerical modelling, Acoustic cavitation, Acoustic resonance
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science 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)
Last Modified:	10 Feb 2024 01:38
URI:	http://gala.gre.ac.uk/id/eprint/39071

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