Comparative analysis of shape memory-based self-healing coatings

Hossein Birjandi Nejad, Katie L. Garrison, Patrick T. Mather

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Self-healing materials exhibit the ability to repair and to recover their functionality upon damage. Here, we report on an investigation into preparation and characterization of shape memory assisted self-healing coatings. We built on past work in which poly(ε-caprolactone) electrospun fibers were infiltrated with a shape memory epoxy matrix and delve into fabricating and characterizing a coating with the same materials, but employing a blending approach, polymerization induced phase separation. After applying controlled damage, the ability of both coatings to self-heal upon heating was investigated. In both methods, coatings showed excellent thermally induced crack closure and protection against corrosion, with the blend approach being more suitable for large-scale applications given its process simplicity. Two different approaches to the preparation of shape memory-based self-healing coatings were compared for their ability to heal structurally and functionally by heating. These two approaches, electrospinning versus polymerization-induced phase separation were found to feature comparable and quite complete healing, with the latter system offering the advantage of facile processing.

Original languageEnglish (US)
JournalJournal of Polymer Science, Part B: Polymer Physics
StateAccepted/In press - 2016


  • Anticorrosion coatings
  • Coatings
  • Crack closure
  • Phase separation
  • Shape memory assisted self-healing (SMASH)
  • Stimuli-sensitive polymers

ASJC Scopus subject areas

  • Materials Chemistry
  • Polymers and Plastics
  • Condensed Matter Physics
  • Physical and Theoretical Chemistry


Dive into the research topics of 'Comparative analysis of shape memory-based self-healing coatings'. Together they form a unique fingerprint.

Cite this