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Directional Response of Randomly Dispersed Carbon Nanotube Strain Sensors.
Güemes, Alfredo; Pozo Morales, Angel Renato; Fernandez-Lopez, Antonio; Sanchez-Romate, Xoan Xose F; Sanchez, Maria; Ureña, Alejandro.
Afiliação
  • Güemes A; Department of Aeronautics, Universidad Politecnica de Madrid, 28040 Madrid, Spain.
  • Pozo Morales AR; Department of Aeronautics, Universidad Politecnica de Madrid, 28040 Madrid, Spain.
  • Fernandez-Lopez A; Department of Aeronautics, Universidad Politecnica de Madrid, 28040 Madrid, Spain.
  • Sanchez-Romate XXF; Department of Materials Science, Universidad Rey Juan Carlos I, 28933 Madrid, Spain.
  • Sanchez M; Department of Materials Science, Universidad Rey Juan Carlos I, 28933 Madrid, Spain.
  • Ureña A; Department of Materials Science, Universidad Rey Juan Carlos I, 28933 Madrid, Spain.
Sensors (Basel) ; 20(10)2020 May 24.
Article em En | MEDLINE | ID: mdl-32456360
ABSTRACT
Tests on a double lap bonded joint, with transverse strips of randomly oriented carbon nanotubes (CNT) sprayed onto an epoxy adhesive film, showed a positive increment in electrical resistance under tensile load, even though the transverse strains were negative. Other experiments included in this work involved placing longitudinal and transversal CNT sensors in a tensile loaded aluminum plate, and, as reported by other authors, the results confirm that the resistance change is not only dependent on the strains oriented with the electrode line, while the other strain components also influence the response. This behavior is quite different to that of conventional strain gages which have a near zero sensitivity to strains not aligned to the sensor direction. The dependence of the electrical response on all the strain components makes it quite difficult, possibly unfeasible, to experimentally determine the individual strain components with this kind of sensors; however, the manufacturing of aligned CNT sensors could deal with this issue.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article