Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/122525
Title: Thermal characterization of dynamic silicon cantilever array sensors by digital holographic microscopy
Author(s): Zakerin, MarjanLook up in the Integrated Authority File of the German National Library
Novak, Antonin
Toda, Masaya
Emery, Yves
Natálio, Filipe André da Silva RaminhosLook up in the Integrated Authority File of the German National Library
Butt, Hans-JürgenLook up in the Integrated Authority File of the German National Library
Berger, RüdigerLook up in the Integrated Authority File of the German National Library
Issue Date: 2017
Type: Article
Language: English
Abstract: In this paper, we apply a digital holographic microscope (DHM) in conjunction with stroboscopic acquisition synchronization. Here, the temperature-dependent decrease of the first resonance frequency (S1(T)) and Young’s elastic modulus (E1(T)) of silicon micromechanical cantilever sensors (MCSs) are measured. To perform these measurements, the MCSs are uniformly heated from T0 = 298 K to T = 450 K while being externally actuated with a piezo-actuator in a certain frequency range close to their first resonance frequencies. At each temperature, the DHM records the time-sequence of the 3D topographies for the given frequency range. Such holographic data allow for the extracting of the out-of-plane vibrations at any relevant area of the MCSs. Next, the Bode and Nyquist diagrams are used to determine the resonant frequencies with a precision of 0.1 Hz. Our results show that the decrease of resonance frequency is a direct consequence of the reduction of the silicon elastic modulus upon heating. The measured temperature dependence of the Young’s modulus is in very good accordance with the previously-reported values, validating the reliability and applicability of this method for micromechanical sensing applications.
URI: https://opendata.uni-halle.de//handle/1981185920/124471
http://dx.doi.org/10.25673/122525
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Sensors
Publisher: MDPI
Publisher Place: Basel
Volume: 17
Issue: 6
Original Publication: 10.3390/s17061191
Page Start: 1
Page End: 11
Appears in Collections:Open Access Publikationen der MLU

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