Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/118173
Title: FEM-based time-reversal technique for an ultrasonic cleaning application
Authors: Tommiska, O.
Mustonen, J.
Moilanen, P.
Rauhala, T.
Gritsevich, M.
Salmi, A.
Hæggström, E.
Issue Date: 2022
Publisher: Elsevier Ltd
Citation: FEM-based time-reversal technique for an ultrasonic cleaning application / O. Tommiska, J. Mustonen, P. Moilanen et al. // Applied Acoustics. — 2022. — Vol. 193. — 108763.
Abstract: Ultrasound provides a way to clean fouled pipes in industrial settings without interrupting the production. Ultrasonic clamp-on cleaners are used to clean pipes, but they typically cannot focus the cleaning power. This leads to insufficient cleaning results in cases where the fouling is localized to certain parts of the pipe. To solve this issue, we propose a finite-element method -based time-reversal (FEM-TR) technique for controlling the acoustic field produced by an ultrasonic clamp-on cleaner. We demonstrate by simulations and experimental validation that FEM-TR can be used to control the acoustic field in clamp-on cleaners featuring relatively few narrow-band and high-power transducers. The proposed method allows us to focus sound to arbitrary pre-selected locations inside the structure. © 2022 The Authors
Keywords: FINITE-ELEMENT METHOD
NUMERICAL MODELLING
TIME-REVERSAL
TIMEREVERSAL FOCUSING
ULTRASONIC CLEANING
ULTRASONICS
ACOUSTIC FIELDS
NUMERICAL METHODS
ULTRASONIC CLEANING
ULTRASONIC TRANSDUCERS
EXPERIMENTAL VALIDATIONS
HIGH POWER
INDUSTRIAL SETTINGS
LOCALISED
NARROW BANDS
POWER
SIMULATION VALIDATION
TIME REVERSAL TECHNIQUES
TIME-REVERSAL
TIME-REVERSAL FOCUSING
FINITE ELEMENT METHOD
URI: http://elar.urfu.ru/handle/10995/118173
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85127318260
WOS ID: 000798823700010
PURE ID: 29931101
ISSN: 0003682X
DOI: 10.1016/j.apacoust.2022.108763
Sponsorship: 8868/31/2017
We thank Mr. Joni Mäkinen for his valuable input regarding the implementation of the simulation model. This work was supported by Altum Technologies Oy and Business Finland (project no. 8868/31/2017).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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