Beckwith, Christopher, Subroto, Tungky, Pericleous, Kyriacos A ORCID: 0000-0002-7426-9999 , Djambazov, Georgi ORCID: 0000-0001-8812-1269 , Eskin, Dmitry G and Tzanakis, Iakovos (2021) Ultrasonic melt treatment in a DC casting launder: the role of melt processing temperature. In: Light Metals 2021. The Minerals, Metals & Materials Series . Springer, Cham, Switzerland, pp. 850-857. ISBN 978-3030653958 ISSN 2367-1181 (Print), 2367-1696 (Online) (doi:https://doi.org/10.1007/978-3-030-65396-5_112)

Preview

PDF (Author's Accepted Manuscript) 31856 PERICLEOUS_Ultrasonic_Melt_Treatment_In_A_DC_Casting_Launder_(AAM)_2021.pdf - Accepted Version Download (1MB) | Preview

Abstract

Ultrasonic melt treatment (UST) using a single sonotrode
source in a launder is an efficient way to treat a
large-volume melt. One key parameter is the melt
processing temperature. Melt processing temperature
affects the acoustic pressure generated by the sonotrode,
which ultimately defines the cavitation development as
well as the resulting acoustic streaming. Experimental
results also show that processing temperature affects
intermetallic number density and the final grain size. This
work presents a numerical model covering acoustic
cavitation, flow (including acoustic streaming), and heat
transfer in direct-chill (DC) casting, to better understand
this process. The UST effectiveness is quantified through
the size of the high-pressure acoustic region and the melt
residence time, a result reflected in experimental grain
size data. The output of this work is useful for optimizing
the selection of process parameters for UST DC casting.

Item Type:	Conference Proceedings
Title of Proceedings:	Light Metals 2021
Uncontrolled Keywords:	ultrasonic melt treatment, cavitation, DC casting, melt temperature, fluid flow, experimental validation
Subjects:	Q Science > QA Mathematics
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 Mar 2022 09:51
URI:	http://gala.gre.ac.uk/id/eprint/31856

Actions (login required)

View Item

Downloads