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Experimental Investigations into the Propagation of Acoustic Emission Signals from Particle Impacts along a Waveguide

Hu, Yonghui, Zhang, Guoqiang, Yan, Yong (2021) Experimental Investigations into the Propagation of Acoustic Emission Signals from Particle Impacts along a Waveguide. Sensors and Actuators A: Physical, 323 . Article Number 112651. ISSN 0924-4247. (doi:10.1016/j.sna.2021.112651) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:86741)

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https://doi.org/10.1016/j.sna.2021.112651

Abstract

On-line particle sizing through acoustic emission (AE) sensing is promising in many industrial applications. However, very limited research on the fundamental sensing mechanism of this technique is available. One imminent issue is the propagation of impact-induced AE signals along a waveguide, which plays a significant role in interpreting the resulting acoustic waveforms and optimizing the design of the waveguide. In this paper, a broadband point-contact sensor, which has an extremely flat frequency response, is used to acquire faithful AE signals. Experimental investigations into the wave propagation behaviour are presented and the influences of different parameters, including particle size, impact velocity, material type and impact location, on the detected AE signals are also discussed. Two fundamental waves with different characteristics are observed in the acoustic waveforms. Experimental results obtained demonstrate that both the particle size and material type greatly affect the amplitude rather than the signal pattern of the acoustic waveform. Meanwhile, significant changes in the signal amplitude and pattern occur with different impact velocities and impact locations.

Item Type: Article
DOI/Identification number: 10.1016/j.sna.2021.112651
Uncontrolled keywords: Wave propagation, acoustic emission, waveguide, particle impact, point-contact sensor
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Yong Yan
Date Deposited: 23 Feb 2021 14:33 UTC
Last Modified: 24 Mar 2021 11:45 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/86741 (The current URI for this page, for reference purposes)
Hu, Yonghui: https://orcid.org/0000-0002-7228-5418
Zhang, Guoqiang: https://orcid.org/0000-0001-7290-4592
Yan, Yong: https://orcid.org/0000-0001-7135-5456
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