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Characterization of ultrasonic bubble clouds in a liquid metal by synchrotron X-ray high speed imaging and statistical analysis

Wang, Chuangnan; Connolley, Thomas; Tzanakis, Iakovos; Eskin, Dmitry; Mi, Jiawei

Authors

Chuangnan Wang

Thomas Connolley

Iakovos Tzanakis

Dmitry Eskin



Abstract

Quantitative understanding of the interactions of ultrasonic waves with liquid and solidifying metals is essential for developing optimal processing strategies for ultrasound processing of metal alloys in the solidification processes. In this research, we used the synchrotron X-ray high-speed imaging facility at Beamline I12 of the Diamond Light Source, UK to study the dynamics of ultrasonic bubbles in a liquid Sn-30wt%Cu alloy. A new method based on the X-ray attenuation for a white X-ray beam was developed to extract quantitative information about the bubble clouds in the chaotic and quasi-static cavitation regions. Statistical analyses were made on the bubble size distribution, and velocity distribution. Such rich statistical data provide more quantitative information about the characteristics of ultrasonic bubble clouds and cavitation in opaque, high-temperature liquid metals.

Citation

Wang, C., Connolley, T., Tzanakis, I., Eskin, D., & Mi, J. (2020). Characterization of ultrasonic bubble clouds in a liquid metal by synchrotron X-ray high speed imaging and statistical analysis. Materials, 13(1), Article 44. https://doi.org/10.3390/ma13010044

Journal Article Type Article
Acceptance Date Dec 16, 2019
Online Publication Date Dec 20, 2019
Publication Date Jan 1, 2020
Deposit Date Apr 14, 2022
Publicly Available Date Apr 14, 2022
Journal Materials
Electronic ISSN 1996-1944
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 13
Issue 1
Article Number 44
DOI https://doi.org/10.3390/ma13010044
Keywords Ultrasonic bubble clouds; Synchrotron X-ray imaging; Metal solidification; Ultrasound melt processing
Public URL https://hull-repository.worktribe.com/output/3467024

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).






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