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Experimental and numerical investigation of acoustic pressures in different liquids

Experimental and numerical investigation of acoustic pressures in different liquids

Lebon, G. S. Bruno, Tzanakis, Iakovos, Pericleous, Koulis ORCID: 0000-0002-7426-9999 and Eskin, Dmitry (2017) Experimental and numerical investigation of acoustic pressures in different liquids. Ultrasonics Sonochemistry, 42. pp. 411-421. ISSN 1350-4177 (doi:https://doi.org/10.1016/j.ultsonch.2017.12.002)

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Abstract

In an attempt to quantify the instantaneous pressure field in cavitating liquids at large forcing signals, pressures were measured in four different liquids contained in vessels with a frequency mode in resonance with the forcing signal. The pressure field in liquid metal was quantified for the first time, with maximum pressures of the order of 10–15MPa measured in liquid aluminium. These high pressures are presumed to be responsible for deagglomeration and fragmentation of dendritic intermetallics and other inclusions. Numerical modelling showed that acoustic shielding attenuates pressure far from the sonotrode and it is prominent in the transparent liquids studied but less so in aluminium, suggesting that aluminium behaviour is different. Due to acoustic shielding, the numerical model presented cannot adequately capture the pressure field away from the intense cavitation zone, but gives a good qualitative description of the cavitation activity. The results obtained contribute to understanding the process of ultrasonic melt treatment (UST) of metal alloys, while facilitating further the guidelines formulation and reproducible protocols for controlling UST at industrial levels.

Item Type: Article
Uncontrolled Keywords: Acoustic cavitation; Sonoprocessing; Ultrasonic melt treatment; Light alloy melts
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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 13:07
URI: http://gala.gre.ac.uk/id/eprint/18242

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