Calibration of piezoresistive shape-memory alloy strain sensors

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Thomas Mäder - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Jonas v. Heusinger - , Technische Universität Dresden (Autor:in)
  • Björn Senf - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Martin Zoch - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Anja Winkler - , Institut für Leichtbau und Kunststofftechnik (ILK) (Autor:in)
  • Welf-Guntram Drossel - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)

Abstract

Continuous strain measurement on fibre-reinforced structures demands mechanical sensors with superior fatigue resistance. Shape-memory alloy wires are predestined for strain sensors utilising their strong piezo-resistance. Calibration of these sensors is necessary in order to extract mechanical data. Therefore, four-point bending of glass-fibre reinforced plastic specimens with applied strain sensors and an optical reference measuring system is used to calibrate and compare shape-memory alloy sensors and standard strain gauges. The gauge factor and its standard deviation is successfully measured by this calibration method. Shape-memory alloy sensors show strain-dependent gauge factor whilst standard strain gauges show a constant strain sensitivity, both with a narrow stochastic distribution. Shape-memory alloy mechanical sensors are reliable to determine strain of fibre-reinforced structures. This offers the possibility to use them in structural health monitoring applications of such structures. Consequently, the four-point bending calibration using glass-fibre reinforced specimens represents a suitable possibility for calibration of strain sensors exposed to higher strain amplitudes.

Details

OriginalspracheEnglisch
Seiten (von - bis)1465-1472
Seitenumfang8
FachzeitschriftJournal of intelligent material systems and structures
Jahrgang33
Ausgabenummer11
Frühes Online-Datum4 Nov. 2021
PublikationsstatusVeröffentlicht - 1 Juli 2022
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0002-8854-7726/work/142242066

Schlagworte

DFG-Fachsystematik nach Fachkollegium

Schlagwörter

  • Calibration, fatigue, mechanical sensors, piezoresistance, shape-memory alloys, strain measurement