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dc.contributor.authorTan, Kheng Leongen_US
dc.contributor.authorYeo, Swee Hocken_US
dc.identifier.citationTan, K. L. & Yeo, S. H. (2020). Velocity estimation of micro-particles driven by cavitation bubble collapses through controlled erosion experiments. International Journal of Multiphase Flow, 127, 103271-.
dc.description.abstractThe high-energy phenomenon of particle acceleration driven by cavitation bubble collapses has garnered research interests over the past few decades. Potential applications range from cavitation-induced drug delivery, chemical synthesis, sonochemistry to micro-machining operations. However, the acceleration mechanisms and the velocities attained by particles remain in huge contention. A novel particle velocity estimation model based on experimental mass loss input is put forward in this paper. Micro-abrasive particles, of 5 µm to 50 µm average diameter, were exposed to intense ultrasonic irradiation of 20 kHz in a deionized water medium for 10 min. The accelerated particles were captured by target specimens placed at 0.5 mm from the ultrasonic horn surface in a controlled experiment. Through the quantification of specimen mass loss, the average particle impact velocity could be estimated by a reverse solid particle erosion model. Results show that the magnitude of particle velocity is in the range of 8–40 m/s and is dependent on both particle size and ultrasonic amplitude. The results also suggest that micro-jet is the likely particle acceleration mechanism in the presence of a solid wall boundary from a microscopic perspective.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.relation.ispartofInternational Journal of Multiphase Flowen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleVelocity estimation of micro-particles driven by cavitation bubble collapses through controlled erosion experimentsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchRolls-Royce@NTU Corporate Laben_US
dc.description.acknowledgementThis work was conducted within the Rolls-Royce@NTU Corporate Lab with support from the National Research Foundation (NRF) Singapore under the Corp Lab@University Scheme.en_US
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