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Pascal Nicolay   Dr.  Research or Laboratory Scientist 
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Pascal Nicolay published an article in October 2018.
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Top co-authors See all
Emilie Courjon

13 shared publications

Frec|n|sys, Temis Innovation, 18 rue Alain Savary, 25000 Besançon, France

Sylvain Ballandras

12 shared publications

Frec|n|sys, Temis Innovation, 18 rue Alain Savary, 25000 Besançon, France

Hugo Chambon

5 shared publications

Carinthian Tech Research (CTR AG), Europastrasse 12, 9524 Villach, Austria

Christian Gruber

2 shared publications

Carinthian Tech Research (CTR AG), Europastrasse 12, 9524 Villach, Austria

Gudrun Bruckner

2 shared publications

Carinthian Tech Research (CTR AG), Europastrasse 12, 9524 Villach, Austria

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Publication Record
Distribution of Articles published per year 
(2014 - 2018)
Total number of journals
published in
 
3
 
Publications
Article 0 Reads 0 Citations A LN/Si-Based SAW Pressure Sensor Pascal Nicolay, Hugo Chambon, Gudrun Bruckner, Christian Gru... Published: 16 October 2018
Sensors, doi: 10.3390/s18103482
DOI See at publisher website ABS Show/hide abstract
Surface Acoustic Wave (SAW) sensors are small, passive and wireless devices. We present here the latest results obtained in a project aimed at developing a SAW-based implantable pressure sensor, equipped with a well-defined, 30 μm-thick, 4.7 mm-in-diameter, Lithium Niobate (LN) membrane. A novel fabrication process was used to solve the issue of accurate membrane etching in LN. LN/Si wafers were fabricated first, using wafer-bonding techniques. Grinding/polishing operations followed, to reduce the LN thickness to 30 μm. 2.45 GHz SAW Reflective Delay-Lines (R-DL) were then deposited on LN, using a combination of e-beam and optical lithography. The R-DL was designed in such a way as to allow for easy temperature compensation. Eventually, the membranes were etched in Si. A dedicated set-up was implemented, to characterize the sensors versus pressure and temperature. The achieved pressure accuracy is satisfactory (±0.56 mbar). However, discontinuities in the response curve and residual temperature sensitivity were observed. Further experiments, modeling and simulations were used to analyze the observed phenomena. They were shown to arise essentially from the presence of growing thermo-mechanical strain and stress fields, generated in the bimorph-like LN/Si structure, when the temperature changes. In particular, buckling effects explain the discontinuities, observed around 43 °C, in the response curves. Possible solutions are suggested and discussed.
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Glue-Less and Robust Assembly Method for SAW Strain Sensors Pascal Nicolay, Jochen Bardong, Hugo Chambon, Pierre Dufilie Published: 01 October 2018
2018 IEEE International Ultrasonics Symposium (IUS), doi: 10.1109/ultsym.2018.8580224
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations High Frequency Optical Probe for BAW/SAW Devices Hugo Chambon, Pascal Nicolay, Thomas Moldaschl, Markus Zaune... Published: 01 October 2018
2018 IEEE International Ultrasonics Symposium (IUS), doi: 10.1109/ultsym.2018.8580056
DOI See at publisher website
Article 0 Reads 3 Citations Analysis of the sensitivity to pressure and temperature of a membrane based SAW sensor Hugo Chambon, Pascal Nicolay, Gudrun Bruckner, Ayech Benjedd... Published: 21 June 2017
International Journal of Smart and Nano Materials, doi: 10.1080/19475411.2017.1335658
DOI See at publisher website ABS Show/hide abstract
This paper presents a FEM analysis of a membrane-based Surface Acoustic Wave (SAW) sensor. The sensor is a 2.45GHz Reflective Delay Line (R-DL) based on Lithium Niobate (LiNbO3). As the wave propagation time is much smaller than the typical time constant of the phenomena to be monitored (deformation, temperature change etc.), the analysis can be performed in three successive steps. First, a static FEM study of the complete sensor (housing included) is carried out, to compute the temperature, stress and strain fields generated in the sensitive area by the measured parameters (pressure, temperature, etc.). Then, a dynamic electro-mechanical study of the R-DL is performed. The simulation takes the previously computed fields into account, which makes it possible to compute the sensor sensitivity to the measured parameters. The model takes advantage of the periodicity of the components of the R-DL to compute phenomenological parameters (Coupling-of-Mode parameters), which can later on be used to compute the electrical response of the sensor (step 3). In this paper, we focus on the first two steps. The COM parameters are extracted, under simultaneous thermal and mechanical stresses. Especially, the sensor sensitivity is obtained from the evolution of the velocity, under various stress configurations.
Article 0 Reads 1 Citation A Wireless and Passive Low-Pressure Sensor Pascal Nicolay, Martin Lenzhofer Published: 17 February 2014
Sensors, doi: 10.3390/s140203065
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
This paper will discuss the results obtained with a first prototype of a completely passive and wireless low pressure sensor. The device is a heat conductivity gauge, based on a wireless and passive SAW temperature sensor. The required heating energy is applied to the sensor using inductive coupling. The prototype was successfully tested in a vacuum chamber. Its equilibrium temperature changed drastically and in a reproducible way when pressure steps were applied. However, the response time was very long. A model is provided to account for the sensor’s behavior. It is then used to show that the response time could be strongly improved using basic design improvements. Further possible improvements are discussed.
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