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One-dimension frequency–wavenumber-domain based model for ultrasonic waves generated by dual-array transducers
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Kubrusly, Alan C., Kang, Lei and Dixon, Steve M. (2022) One-dimension frequency–wavenumber-domain based model for ultrasonic waves generated by dual-array transducers. Ultrasonics, 124 . 106772. doi:10.1016/j.ultras.2022.106772
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Official URL: http://dx.doi.org/10.1016/j.ultras.2022.106772
Abstract
Array transducers can allow wavelength and frequency selectivity and can be used to generate different types of waves, such as ultrasonic bulk or guided waves. Dual-array transducers consist of two interlaced arrays, where the elements of each array are electrically connected. Therefore, by driving each array with a pair of phased pulses one can achieve a degree of wave generation control that allows unidirectional generation, unlike single array transducers that generate waves in both 0° and 180° directions with respect to the array’s longitudinal axis. In this paper, we present a one-dimensional analytical model to determine the ultrasonic waves generated by dual-array transducers based on the excitability of the array in the frequency–wavenumber domain, the so-called operation region, determined by the joint spatial and temporal spectrum of the dual-array. We further exploited it to analyse the effectiveness of unidirectional generation with time-delayed excitation signals that provide ideal constructive or destructive interferences. The model also provides the time-domain received waveforms, which were compared to experimentally generated shear-horizontal ultrasonic guided waves, with a dual periodic permanent magnet array electromagnetic acoustic transducer, showing very good agreement. The adequate selection of the excitation signal allowed one to obtain up to about 40 dB unidirectionality experimentally.
| Item Type: | Journal Article | ||||||||
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||||
| Journal or Publication Title: | Ultrasonics | ||||||||
| Publisher: | Elsevier Science BV | ||||||||
| ISSN: | 0041-624X | ||||||||
| Official Date: | August 2022 | ||||||||
| Dates: |
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| Volume: | 124 | ||||||||
| Article Number: | 106772 | ||||||||
| DOI: | 10.1016/j.ultras.2022.106772 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access |
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