Eskin, D. G, Tzanakis, I., Wang, F., Lebon, G. S. B., Subroto, T, Pericleous, K. ORCID: https://orcid.org/0000-0002-7426-9999 and Mi, J. (2018) Fundamental studies of ultrasonic melt processing. Ultrasonics Sonochemistry, 52. pp. 455-467. ISSN 1350-4177 (doi:10.1016/j.ultsonch.2018.12.028)

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Abstract

Ultrasonic (cavitation) melt processing attracts considerable interest from both academic and industrial communities as a promising route to provide clean, environment friendly and energy efficient solutions for some of the core issues of the metal casting industry, such as improving melt quality and providing structure refinement. In the last 5 years, the authors undertook an extensive research programme into fundamental mechanisms of cavitation melt processing using state-of-the-art and unique facilities and methodologies. This overview summarises the recent results on the evaluation of acoustic pressure and melt flows in the treated melt, direct observations and quantitative analysis of cavitation in liquid aluminium alloys, in-situ and ex-situ studies of the nucleation, growth and fragmentation of intermetallics, and de-agglomeration of particles. These results provide valuable new insights and knowledge that are essential for upscaling ultrasonic melt processing to industrial level.

Item Type:	Article
Additional Information:	© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license.
Uncontrolled Keywords:	aluminium, in-situ characterisation, acoustic pressure, acoustic streaming, ultrasonic melt processing, structure refinement, heterogeneous nucleation, fragmentation, de-agglomeration
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 13:06
URI:	http://gala.gre.ac.uk/id/eprint/22430

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