Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155338
Title: Velocity estimation of micro-particles driven by cavitation bubble collapses through controlled erosion experiments
Authors: Tan, Kheng Leong
Yeo, Swee Hock
Keywords: Engineering::Mechanical engineering
Issue Date: 2020
Source: Tan, 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-. https://dx.doi.org/10.1016/j.ijmultiphaseflow.2020.103271
Journal: International Journal of Multiphase Flow
Abstract: The 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.
URI: https://hdl.handle.net/10356/155338
ISSN: 0301-9322
DOI: 10.1016/j.ijmultiphaseflow.2020.103271
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Rolls-Royce@NTU Corporate Lab 
Rights: © 2020 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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