Electrical resistivity-based study of self-sensing properties for shape memory alloy-actuated artificial muscle

Sensors (Basel). 2013 Sep 26;13(10):12958-74. doi: 10.3390/s131012958.

Abstract

Shape memory alloy (SMA) has great potential to develop light and compact artificial muscle (AM) due to its muscle-like high power-to-weight ratio, flexibility and silent operation properties. In this paper, SMA self-sensing properties are explored and modeled in depth to imitate the integrated muscle-like functions of actuating and self-sensing for SMA-AM based on the investigation of SMA electrical resistivity (ER). Firstly, an ER transformation kinetics model is proposed based on the simulation of SMA differential scanning calorimetry (DSC) curves. Then a series of thermal-electrical-mechanical experiments are carried out to verify the validity of the ER model, whereby the SMA-AM self-sensing function is well established under different stress conditions. Finally the self-sensing capability is further demonstrated by its application to a novel SMA-AM-actuated active ankle-foot orthosis (AAFO).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alloys / chemistry*
  • Biomimetics / instrumentation*
  • Computer Simulation
  • Computer-Aided Design
  • Conductometry / instrumentation*
  • Electric Impedance
  • Equipment Design
  • Equipment Failure Analysis
  • Feedback
  • Foot Orthoses*
  • Humans
  • Models, Biological*
  • Muscle, Skeletal / physiology*
  • Transducers*

Substances

  • Alloys