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Quasi-static FEA model for a multi-material soft pneumatic actuator in SOFA

Tijdschriftbijdrage - Tijdschriftartikel

The increasing interest in soft robotics has led to
new designs that exploit the combination of multiple materials,
increasing robustness and enhancing performance. However, the
combination of multiple non-linear materials makes modelling
and eventual control of these highly flexible systems challenging.
This article presents a methodology to model multi-material soft
pneumatic actuators using finite element analysis (FEA), based
on (hyper)elastic constitutive laws fitted on experimental material
characterisation. Modelling in SOFA, a FEA software, allows to
simulate and control in real-time soft robotic structures. One of
the novelties presented in this paper is the development of a new
user-friendly technique for the mesh partitioning in SOFA, using
MATLAB algorithms, that allow the creation of uniform and
more refined meshes and a mesh domain partitioning that can be
adapted for any geometry. As a case study, a cylindrical multimaterial soft pneumatic actuator is considered. It is composed
of an internal chamber, which is constituted of an autonomous
self-healing hydrogel, modelled as a hyperelastic material, and an
external elastic reinforcement, made of thermoplastic polyetherpolyurethane elastomer (TPPU), approached as a linear elastic
material. The simulation of the combination of a hyperelastic and
a linear elastic material in a single design is another contribution
of this work to the scientific literature of SOFA simulations.
Finally, the multi-material model obtained with the new mesh
partitioning technique is simulated in quasi-static conditions and
is experimentally validated, demonstrating an accurate fit between
simulation and reality.
Tijdschrift: IEEE Robotics and Automation Letters
ISSN: 2377-3766
Issue: 3
Volume: 7
Pagina's: 7391-7398
Jaar van publicatie:2022
Trefwoorden:Soft robotics, multi-material, finite element method, self-healing robots
  • WoS Id: 000815662100004
  • DOI: https://doi.org/10.1109/lra.2022.3183254
  • ORCID: /0000-0001-8105-9079/work/114663384
  • ORCID: /0000-0002-8207-0576/work/114663346
  • ORCID: /0000-0002-9213-4502/work/114662892
  • Scopus Id: 85132758714
Toegankelijkheid:Open