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Thermally tunable, self-healing composites for soft robotic applications

  • Nadia G. Cheng
  • , Arvind Gopinath
  • , Lifeng Wang
  • , Karl Iagnemma
  • , Anette E. Hosoi
  • Massachusetts Institute of Technology
  • Max Planck Institute for Dynamics and Self-Organization

Research output: Contribution to journalArticlepeer-review

162 Scopus citations

Abstract

The field of soft robotics has inspired recent mechanical engineering and materials science innovations to enable shape-shifting systems to be developed. This paper presents the design and analysis of a novel thermally tunable composite, namely, a flexible open-cell foam coated in wax that can achieve significant ranges of stiffness, strength, and volume. Experimental results were compared to a proposed model for predicting the bulk compression modulus of the composites. Additionally, preliminary studies indicate that the composites exhibit self-healing properties, in which heating between loading cycles can mend wax that has been plastically deformed, for example, by cracking or delaminating from the foam.

Original languageEnglish
Pages (from-to)1279-1284
Number of pages6
JournalMacromolecular Materials and Engineering
Volume299
Issue number11
DOIs
StatePublished - Nov 1 2014

Keywords

  • Coatings
  • Composites
  • Self-healing
  • Soft robotics
  • Wax

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