Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (22/22 displayed)

  • 2022Shape memory through contact : introduction of magnetofriction – shape memory polymers (MF-SMPs)citations
  • 2022Development of a magneto-mechanical bench and experimental characterization of magneto-rheological elastomers4citations
  • 2022In situ damping identification of plant fiber composites using dynamic grid nanoindentation4citations
  • 2022On the use of thermomechanical couplings for the design of adaptive structurescitations
  • 2022Viscoelastic properties of plant fibers - Dynamic analysis and nanoindentation testscitations
  • 2021Influence of water aging on the damping properties of plant fiber compositescitations
  • 2021Damping behavior of plant fiber composites : A reviewcitations
  • 2021Damping behavior of hemp and flax fibre reinforced greenpoxy compositescitations
  • 2020Real-time tuning of stiffness and damping properties of laminate compositescitations
  • 2020Towards a better understanding of the CMUTs potential for SHMapplicationscitations
  • 2020In-core heat distribution control for adaptive damping and stiffness tuning of composite structurescitations
  • 2020Magnetic and dynamic mechanical properties of a highly coercive MRE based on NdFeB particles and a stiff matrixcitations
  • 2019Temperature control of a composite core for adaptive stiffness and dampingcitations
  • 2019CMUT sensors based on circular membranes array for SHM applicationscitations
  • 2019Black hole damping control with a thermally-driven shape memory polymercitations
  • 2019Adaptive damping and stiffness control of composite structures: an experimental illustrationcitations
  • 2018Identification of the viscoelastic properties of the tBA/PEGDMA polymer from multi-loading modes conducted over a wide frequency–temperature scale rangecitations
  • 2017Design of thermally adaptive composite structures for damping and stiffness control4citations
  • 2016Sandwich structures with tunable damping properties: on the use of shape memory polymer as viscoelastic corecitations
  • 2015Investigations on the frequency and temperature effects on mechanical properties of a shape memory polymer (Veriflex)citations
  • 2015Contribution to using shape memory polymers for the control of structural dampingcitations
  • 2013Static and Dynamic Thermo Mechanical Characterization of a Bio-Compatible Shape Memory Polymercitations

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Chart of shared publication
Hirsinger, Laurent
1 / 16 shared
Ouisse, Morvan
17 / 47 shared
Hermann, Svenja
3 / 4 shared
Chevallier, Gael
10 / 13 shared
Espanet, Christophe
2 / 5 shared
Préault, Valentin
1 / 4 shared
Manceau, Jean-François
2 / 3 shared
Savary, Maxime
1 / 1 shared
Gaillard, Yves
3 / 24 shared
Liu, Taiqu
5 / 7 shared
Placet, Vincent
10 / 57 shared
Foltête, Emmanuel
4 / 6 shared
Bourbon, Gilles
3 / 10 shared
Pelisson, Fanny
1 / 1 shared
Amiot, Fabien
2 / 13 shared
Verdin, Benoît
6 / 6 shared
Renault, David
4 / 5 shared
Moal, Patrice Le
2 / 3 shared
Joseph, Eric
4 / 7 shared
Ramasso, Emmanuel
2 / 15 shared
Renault, D.
1 / 1 shared
Sadoulet, Emeline
2 / 9 shared
Jeannin, Thomas
1 / 8 shared
Chevallier, Gaël
1 / 3 shared
Berriet, Cécile
1 / 1 shared
Renaud, Franck
1 / 2 shared
Delobelle, Patrick
1 / 26 shared
Maynadier, Anne
2 / 10 shared
Travaillot, Thomas
1 / 2 shared
Foltete, Emmanuel
3 / 12 shared
Klesa, Jan
1 / 2 shared
Gabrion, Xavier
1 / 29 shared
Rogueda-Berriet, Cécile
1 / 1 shared
Brault, Nicolas
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Hirsinger, Laurent
  • Ouisse, Morvan
  • Hermann, Svenja
  • Chevallier, Gael
  • Espanet, Christophe
  • Préault, Valentin
  • Manceau, Jean-François
  • Savary, Maxime
  • Gaillard, Yves
  • Liu, Taiqu
  • Placet, Vincent
  • Foltête, Emmanuel
  • Bourbon, Gilles
  • Pelisson, Fanny
  • Amiot, Fabien
  • Verdin, Benoît
  • Renault, David
  • Moal, Patrice Le
  • Joseph, Eric
  • Ramasso, Emmanuel
  • Renault, D.
  • Sadoulet, Emeline
  • Jeannin, Thomas
  • Chevallier, Gaël
  • Berriet, Cécile
  • Renaud, Franck
  • Delobelle, Patrick
  • Maynadier, Anne
  • Travaillot, Thomas
  • Foltete, Emmanuel
  • Klesa, Jan
  • Gabrion, Xavier
  • Rogueda-Berriet, Cécile
  • Brault, Nicolas
OrganizationsLocationPeople

article

Towards a better understanding of the CMUTs potential for SHMapplications

  • Verdin, Benoît
  • Moal, Patrice Le
  • Bourbon, Gilles
  • Butaud, Pauline
  • Placet, Vincent
  • Joseph, Eric
  • Ramasso, Emmanuel
Abstract

The ability of Capacitive Micromachined Ultrasonic Transducer (CMUTs) to design broadband sensors for Structural Health Monitoring (SHM) is studied through both multi-frequency and bandwidth aspects. Elementary cells are composed of circular membranes fabricated using the standard MUMPS Process. The multi-frequency aspect, which involves different individual membranes from 50 µm to 250 µm radius, is theoretically addressed through a numerical modeling. The targeted frequency range, consistent with the SHM application, is then between 80 kHz and 2 MHz. Geometrical features induced by the manufacturing process greatly affect the dynamic properties of the membranes and this is experimentally validated. The bandwidth aspect is also addressed on an array of identical 100 µm radius membranes thus involving their intrinsic capabilities. Harmonic excitation with targeted frequencies 300 kHz, 530 kHz and 800 kHz, below and beyond the resonance frequency of the membranes, are performed. The influence of the bias voltage VDC on the signal-to-noise ratio is studied according to the excitation frequency. As a result, a signal-to-noise of 20 dB is achieved around the resonance frequency. Finally, the circular membranes array is tested for acoustic emission sensing through a pencil lead break test. In spite of a low signal-tonoise ratio, acoustic events are clearly detected. The multi-frequency aspect and the large bandwidth capability of the CMUTs are hence demonstrated and highlight the adaptability of the sensor to its environment.

Topics
  • impedance spectroscopy
  • ultrasonic