Numerical and experimental study on the deformation of adaptive elastomer fibre-reinforced composites with embedded shape memory alloy wire actuators

Research output: Contribution to journalResearch articleContributedpeer-review

Abstract

In this work, a finite element modelling methodology is presented for the prediction of the bending behaviour of a glass fibre-reinforced elastomer composite with embedded shape memory alloy (SMA) wire actuators. Three configurations of a multi-layered composite with differences in structural stiffness and thickness are experimentally and numerically analysed. The bending experiments are realised by Joule heating of the SMA, resulting in deflection angles of up to 58 deg. It is shown that a local degradation in the structural stiffness in the form of a hinge significantly increases the amount of deflection. Modelling is fully elaborated in the finite element software ANSYS, based on material characterisation experiments of the composite and SMA materials. The thermomechanical material behaviour of the SMA is modelled via the Souza–Auricchio model, based on differential scanning calorimetry (DSC) and isothermal tensile experiments. The methodology allows for the consideration of an initial pre-stretch for straight-line positioned SMA wires and an evaluation of their phase transformation state during activation. The results show a good agreement of the bending angle for all configurations at the activation temperature of 120 °C reached in the experiments. The presented methodology enables an efficient design and evaluation process for soft robot structures with embedded SMA actuator wires.

Details

Original languageEnglish
Article number371
Number of pages18
JournalJournal of Composites Science
Volume9
Issue number7
Publication statusPublished - 16 Jul 2025
Peer-reviewedYes

External IDs

ORCID /0000-0003-2653-7546/work/189704888
ORCID /0000-0003-1370-064X/work/189707198
WOS 001535426500001

Keywords

Keywords

  • composite, finite element analysis (FEA), shape memory alloy, shape memory effect, smart material, soft robots