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Effect of input power and temperature on the cavitation intensity during the ultrasonic treatment of molten aluminium

Effect of input power and temperature on the cavitation intensity during the ultrasonic treatment of molten aluminium

Tzanakis, I., Lebon, Gerard S. B., Eskin, D.G. and Pericleous, Kyriacos A. ORCID: 0000-0002-7426-9999 (2015) Effect of input power and temperature on the cavitation intensity during the ultrasonic treatment of molten aluminium. In: Transactions of the Indian Institute of Metals. Springer India, pp. 1023-1026. ISSN 0972-2815 (Print), 0975-1645 (Online) (doi:https://doi.org/10.1007/s12666-015-0639-0)

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Abstract

Experimental results of ultrasonic processing of liquid aluminium with a 5 kW magnetostrictive transducer and a 20 mm titanium sonotrode excited at 17 kHz are reported in this study. A unique high-temperature cavitometer sensor, placed at various locations in the liquid melt, measured cavitation activity at various acoustic power levels and different temperature ranges. The highest cavitation intensity in the liquid bulk is achieved below the surface of the sonotrode, at the lowest temperature and with an applied power of 3.5 kW. This two-fold mechanism is related to (a) acoustic shielding and (b) the tendency of liquid aluminium to release hydrogen when the temperature drops, thus promoting multiple cavitation events. Understanding these mechanisms in liquid metals can result in a major breakthrough for the optimization of ultrasound applications to liquid metal processing.

Item Type: Conference Proceedings
Title of Proceedings: Transactions of the Indian Institute of Metals
Uncontrolled Keywords: Ultrasonic treatment; Metallic alloys; Cavitation bubbles; Frequency spectrum; Acoustic pressure
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QD Chemistry
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/13962

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