Issue |
Mechanics & Industry
Volume 18, Number 8, 2017
Experimental Vibration Analysis
|
|
---|---|---|
Article Number | 802 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/meca/2017044 | |
Published online | 21 March 2018 |
Regular Article
Modal parameter identification of a CMUT membrane using response data only
1
FEMTO–ST Institute, DMA, BFC University,
25000
Besançon, France
2
Université Clermont Auvergne, Sigma-Clermont, Institut Pascal,
BP 10448,
63000
Clermont-Ferrand, France
* e-mail: joseph.lardies@univ-fcomte.fr
Received:
12
December
2016
Accepted:
6
November
2017
Capacitive micromachined ultrasonic transducers (CMUTs) are microelectromechanical systems used for the generation of ultrasounds. The fundamental element of the transducer is a clamped thin metallized membrane that vibrates under voltage variations. To control such oscillations and to optimize its dynamic response it is necessary to know the modal parameters of the membrane such as resonance frequency, damping and stiffness coefficients. The purpose of this work is to identify these parameters using only the time data obtained from the membrane center displacement. Dynamic measurements are conducted in time domain and we use two methods to identify the modal parameters: a subspace method based on an innovation model of the state-space representation and the continuous wavelet transform method based on the use of the ridge of the wavelet transform of the displacement. Experimental results are presented showing the effectiveness of these two procedures in modal parameter identification.
Key words: Modal parameters / CMUT / subspace method / wavelet transform method / experimental identification
© AFM, EDP Sciences 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.