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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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