Numerical modelling of ultrasonic waves in a bubbly Newtonian liquid using a high-order acoustic cavitation model
Lebon, G. S. Bruno, Tzanakis, I., Djambazov, G. ORCID: 0000-0001-8812-1269 , Pericleous, K. ORCID: 0000-0002-7426-9999 and Eskin, D. G. (2017) Numerical modelling of ultrasonic waves in a bubbly Newtonian liquid using a high-order acoustic cavitation model. Ultrasonics Sonochemistry, 37. pp. 660-668. ISSN 1350-4177 (Print), 1873-2828 (Online) (doi:https://doi.org/10.1016/j.ultsonch.2017.02.031)
|
PDF (Author Accepted Manuscript - Open Access)
16371 LEBON_Numerical_Modelling_of_Ultrasonic_Waves_2017.pdf - Accepted Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
To address difficulties in treating large volumes of liquid metal with ultrasound, a fundamental study of acoustic cavitation in liquid aluminium, expressed in an experimentally validated numerical model, is presented in this paper. To improve the understanding of the cavitation process, a non-linear acoustic model is validated against reference water pressure measurements from acoustic waves produced by an immersed horn. A high-order method is used to discretize the wave equation in both space and time. These discretized equations are coupled to the Rayleigh-Plesset equation using two different time scales to couple the bubble and flow scales, resulting in a stable, fast, and reasonably accurate method for the prediction of acoustic pressures in cavitating liquids. This method is then applied to the context of treatment of liquid aluminium, where it predicts that the most intense cavitation activity is localised below the vibrating horn and estimates the acoustic decay below the sonotrode with reasonable qualitative agreement with experimental data.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Acoustic cavitation; Numerical acoustics; Ultrasonic wave propagation; Ultrasonic melt processing; Light metal alloys |
Faculty / School / Research Centre / Research Group: | 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 13:07 |
URI: | http://gala.gre.ac.uk/id/eprint/16371 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year