Optimised polymer trapped-air lenses for ultrasound focusing in water exploiting Fabry-Pérot resonance.

Additive-manufacturing Fabry-Pérot resonance MRI Polymer Trapped-air lens Ultrasonics Ultrasound focusing

Journal

Ultrasonics
ISSN: 1874-9968
Titre abrégé: Ultrasonics
Pays: Netherlands
ID NLM: 0050452

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 28 10 2021
revised: 10 05 2022
accepted: 31 05 2022
pubmed: 8 6 2022
medline: 8 6 2022
entrez: 7 6 2022
Statut: ppublish

Résumé

The concept of employing air volumes trapped inside polymer shells to make a lens for ultrasound focusing in water is investigated. The proposed lenses use evenly-spaced concentric rings, each having an air-filled polymer shell construction, defining concentric water-filled channels. Numerical simulations and experiments have shown that a plane wave can be focused, and that the amplification can be boosted by Fabry-Pérot resonances within the water channels with an appropriate choice of the lens thickness. The effect of the polymer shell thickness and the depth of the channels is discussed, as these factors can affect the geometry and hence the frequency of operation. The result was a lens with a Full Width at Half Maximum value of 0.65 of a wavelength at the focus. Results obtained on a metal-based counterpart are also shown for comparison. An advantage of this polymeric design is that it is easily constructed via additive manufacturing. This study shows that trapped-air lenses made of polymer are suitable for ultrasound focusing in water near 500 kHz.

Identifiants

pubmed: 35671568
pii: S0041-624X(22)00087-7
doi: 10.1016/j.ultras.2022.106781
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106781

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Auteurs

Lorenzo Astolfi (L)

School of Engineering, University of Warwick, Coventry CV4 7AL, UK.

David A Hutchins (DA)

School of Engineering, University of Warwick, Coventry CV4 7AL, UK.

Richard L Watson (RL)

Department of Mechanical Engineering Sciences, University of Surrey, Guildford, Surrey GU2 7XH, UK.

Peter J Thomas (PJ)

School of Engineering, University of Warwick, Coventry CV4 7AL, UK.

Marco Ricci (M)

Department of Informatics, Modelling, Electronics and System Engineering, University of Calabria, 87036 Rende, Italy.

Luzhen Nie (L)

School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.

Steven Freear (S)

School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.

Timothy P Cooper (TP)

Department of Mechanical, Material and Manufacturing Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK.

Adam T Clare (AT)

Department of Mechanical, Material and Manufacturing Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK.

Stefano Laureti (S)

Department of Informatics, Modelling, Electronics and System Engineering, University of Calabria, 87036 Rende, Italy. Electronic address: stefano.laureti@unical.it.

Classifications MeSH