Calibration of piezoresistive shape-memory alloy strain sensors

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Thomas Mäder - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Jonas v. Heusinger - , TUD Dresden University of Technology (Author)
  • Björn Senf - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Martin Zoch - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Anja Winkler - , Institute of Lightweight Engineering and Polymer Technology (Author)
  • Welf-Guntram Drossel - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)

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

Original languageEnglish
Pages (from-to)1465-1472
Number of pages8
JournalJournal of intelligent material systems and structures
Volume33
Issue number11
Early online date4 Nov 2021
Publication statusPublished - 1 Jul 2022
Peer-reviewedYes

External IDs

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

Keywords

DFG Classification of Subject Areas according to Review Boards

Keywords

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