Coil Formation and Biomimetic Performance Characterization of Twisted Coiled Polymer Artificial Muscles

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Nicholas S. Witham - , University of Utah (Author)
  • Johannes Mersch - , Professor (rtd.) of Solid-State Electronics, Johannes Kepler University Linz (Author)
  • Lukas Selzer - , University of Utah (Author)
  • Christopher F. Reiche - , University of Utah (Author)
  • Florian Solzbacher - , University of Utah (Author)

Abstract

A biological muscle's force is nonlinearly constrained by its current state (force, length, and speed) and state history. To investigate if artificial muscles can mimic (i.e. biomimetic) the complete mechanical state spectrum of biological muscles, this study uses a novel method to characterize twisted coiled polymer actuators (TCPAs) mechanically. Thus, comprehensive and reproducible test procedures are established to verify artificial muscle biomimetics regarding stress, strain, and strain rate combinations intrinsic to biological muscle. A rheometer performs novel high-precision mechanical characterization methods to comprehensively verify biomimetic performance. Sample twist level, torque, length, force, and temperature are controlled and measured during twist-induced coiling, heatsetting/annealing, and mechanical testing. TCPAs are formed from linear low-density polyethylene monofilament. Linear low-density polyethylene (LLDPE) TCPAs generate larger stresses than biological muscle through the entire spectrum of strains—contracting more than 40%, exerting more than 0.3 MPa at rest length, and withstanding tension of 8 MPa without damage. Thus, the LLDPE TCPAs attain biological muscle performance statically, but additional tests are required to assess this dynamically. The mechanical performance of LLDPE TCPAs enables biomimetic actuation with an intelligent control and measurement system. Their high-throughput textile manufacturability positions them for advanced biomechatronic applications—including prosthetics and exoskeletons.

Details

Original languageEnglish
Article number2400334
JournalAdvanced Intelligent Systems
Publication statusE-pub ahead of print - 2 Sept 2024
Peer-reviewedYes

External IDs

Scopus 85202817399

Keywords