Johansen, K., Song, J. H., Johnston, K. and Prentice, P. (2017) Deconvolution of acoustically detected bubble-collapse shock waves. Ultrasonics, 73, pp. 144-153. (doi: 10.1016/j.ultras.2016.09.007) (PMID:27657479)
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Abstract
The shock wave emitted by the collapse of a laser-induced bubble is detected at propagation distances of 30, 40 and 50 mm, using a PVdF needle hydrophone, with a non-flat end-of-cable frequency response, calibrated for magnitude and phase, from 125 kHz – 20 MHz. High-speed shadowgraphic imaging at 5 × 106 frames per second, 10 ns temporal resolution and 256 frames per sequence, records the bubble deflation from maximum to minimum radius, the collapse and shock wave generation, and the subsequent rebound in unprecedented detail, for a single sequence of an individual bubble. The Gilmore equation for bubble oscillation is solved according to the resolved bubble collapse, and simulated shock wave profiles deduced from the acoustic emissions, for comparison to the hydrophone recordings. The effects of single-frequency calibration, magnitude-only and full waveform deconvolution of the experimental data are presented, in both time and frequency domains. Magnitude-only deconvolution increases the peak pressure amplitude of the measured shock wave by approximately 9%, from single-frequency calibration, with full waveform deconvolution increasing it by a further 3%. Full waveform deconvolution generates a shock wave profile that is in agreement with the simulated profile, filtered according to the calibration bandwidth. Implications for the detection and monitoring of acoustic cavitation, where the role of periodic bubble collapse shock waves has recently been realised, are discussed.
| Item Type: | Articles |
|---|---|
| Additional Information: | The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP/2007 – 2013)/ERC Grant Agreement no. 336189 (TheraCav). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Johansen, Kristoffer and Prentice, Dr Paul and Song, Dr Jae Hee |
| Authors: | Johansen, K., Song, J. H., Johnston, K., and Prentice, P. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | Ultrasonics |
| Publisher: | Elsevier |
| ISSN: | 0041-624X |
| ISSN (Online): | 1874-9968 |
| Published Online: | 09 September 2016 |
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