A built-in sensor with carbon nanotubes coated by Ag clusters for deformation monitoring of glass fiber/epoxy composites
Petr Slobodian
Tomas Bata University in zlin
Petr Slobodian achieved Ph.D. degree with the Faculty ofTechnology, Tomas Bata University in Zlin (TBU), and the master’s degree withthe Brno University of Technology. He is a Scientific Researcher with theCentre of Polymer Systems, TBU. Since 2008, he has been an Associate Professorwith the Faculty of Technology, TBU, and in 2016 starts for full professorship.He is author or co-author of over 66 scientific articles in impacted journals.His focus is in research of polymer composite materials, carbon nanotubes, andtheir use in the organic vapor sensors, strain sensors and stretchablethermoelectric materials.
Abstract
Strain sensing composite materials have attracted considerable attention for their unique characteristics exceeding conventionally applied materials. Between different solutions and various types of transducers available for... [ view full abstract ]
Strain sensing composite materials have attracted considerable attention for their unique characteristics exceeding conventionally applied materials. Between different solutions and various types of transducers available for these applications, piezo-resistive strain sensors are among the most investigated ones usually based on conductive polymer composites prepared by embedding of electrically conductive fillers as carbon nanotubes into a polymeric matrix. This principle can be used for monitoring of deformation or stress stimulus in elongation or compression. The responses are sensitive and reversible with sufficient durability in the dynamic loadings measured by a macroscopic electrical resistance change.
In our contribution we introduce a strain sensing composite material composed of electrically conductive entangled network of Ag decorated multiwalled carbon nanotubes (MWCNTs) integrated into the glass fiber/epoxy composite. A vacuum infusion technique was used for the composite fabrication. The experimental results revealed that an integrated strain sensing exhibit long term electromechanical stability which was linked to the level of strain in the host glass fiber/epoxy structure. It has been proven that modification of pristine MWCNTs with Ag nanoparticles increase the sensitivity to applied strain. Simultaneously pre-strain stimulation was also applied to further enhance detection ability. The resistance sensitivity, quantified by a gauge factor, increased more than hundredfold for a pre-strained sensor with Ag decorated nanotubes in comparison with the value of about 5 for sensor with pristine nanotubes. This is a substantial increase which ranks this new material among strain gauges with the highest electromechanical sensitivity. The obtained data indicated also a reasonable stability of the measurement with no effect of load alterations on the sensor resistance changes.
This work was supported by the Ministryof Education, Youth and Sports of the Czech Republic, under the project Czech-Austrian mobility (program KONTAKT II) project-7AMB16AT033 and by theOeAD, the Austrian Agency for International Mobility and Cooperation inEducation Research in collaboration of the Thomas Bata University (TBU) in Zlinand Montanuniversitaet in Leoben (MUL). This work was also supported by theMinistry of Education, Youth and Sports of the Czech Republic – Program NPU I(LO1504).
Authors
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Petr Slobodian
(Tomas Bata University in zlin)
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Pavel Riha
(Institute of Hydrodynamics, Academy of Sciences, Prague , Czech Republic)
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Robert Olejnik
(Tomas Bata University in zlin)
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Jiri Matyas
(Tomas Bata University in zlin)
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Silvia Pertegas
(Christian Doppler Laboratory for High Efficient Composite processing, Department of Polymer Engineering and Science, Montanuniversitaet Leoben, Leoben, Austria)
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Ralf Schledjewski
(Christian Doppler Laboratory for High Efficient Composite processing, Department of Polymer Engineering and Science, Montanuniversitaet Leoben, Leoben, Austria)
Topic Area
Polymer nanocomposites
Session
PS3 » Poster Session (13:30 - Friday, 20th October, Hall & Room 3)
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