Skip navigation

Optimization of the ultrasonic processing in a melt flow

Optimization of the ultrasonic processing in a melt flow

Tzanakis, I., Lebon, G. S. B., Eskin, D. G. and Pericleous, K. ORCID: 0000-0002-7426-9999 (2016) Optimization of the ultrasonic processing in a melt flow. In: Light Metals, TMS (The Minerals, Metals & Materials Society) 2016. John Wiley & Sons, Hoboken, NJ, USA, pp. 833-836. ISBN 9781119225799 (doi:https://doi.org/10.1002/9781119274780.ch141)

[img]
Preview
PDF (Author Accepted Manuscript)
15888 PERICLEOUS_Ultrasonic_Processing_in_a_Melt_Flow_2016.pdf - Accepted Version

Download (1MB) | Preview

Abstract

Ultrasonic cavitation treatment of melt significantly improves the downstream properties and quality of conventional and advanced metallic materials. However, the transfer of this technology to treating large melt volumes has been hindered by a lack of fundamental knowledge, allowing for the ultrasonic processing in the melt flow. In this study, we present the results of experimental validation of an advanced numerical model applied to the acoustic cavitation treatment of liquid aluminum during continuous flow[1]. This was achieved by using a calibrated high-temperature cavitometer. The acoustic spectrum was analyzed at various points across the launder while acoustic pressures were calculated at the frequencies of interest.

Item Type: Conference Proceedings
Title of Proceedings: Light Metals, TMS (The Minerals, Metals & Materials Society) 2016
Uncontrolled Keywords: Cavitation; Light-metal alloys; Ultrasonic melt processing
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Architecture, Computing & Humanities > Department of Mathematical Sciences
Last Modified: 02 Mar 2019 15:53
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/15888

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics