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Shape Memory Polymers for Active Cell Culture
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Automatically Programmable Shape-Memory Polymers Based on Asymmetric Swelling of Bilayer Structures.

Junkun Tang1, Yan Zhou1, Liqiang Wan1

  • 1Key Laboratory for Specially Functional Polymeric Materials and Related Technology of the Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China.

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|March 9, 2018
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Summary

Shape-memory polymers (SMPs) can now be programmed automatically. This new method uses asymmetric swelling to create complex, reproducible temporary shapes without external manipulation, expanding SMP applications.

Keywords:
asymmetric swellingautomatic programmingbilayer structuresreversibleshape-memory polymers

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Area of Science:

  • Materials Science
  • Polymer Science
  • Smart Materials

Background:

  • Traditional shape-memory polymers (SMPs) require manual programming for shape transformation.
  • External manipulation in SMP programming limits shape complexity, accuracy, and reproducibility.
  • A need exists for automated programming methods in SMPs.

Purpose of the Study:

  • To demonstrate an automatically programmable shape-memory polymer (AP-SMP).
  • To develop an SMP system that achieves shape programming without external manipulation.
  • To explore the potential for creating complex and reproducible shapes using AP-SMPs.

Main Methods:

  • Utilized asymmetric swelling of bilayer SMP structures for automatic programming.
  • Employed a hydrophilic hinge film that swells in warm water to induce deformation.
  • Fixed temporary shapes via glass transition upon cooling and drying.

Main Results:

  • Successfully demonstrated an AP-SMP capable of autonomous shape programming.
  • Achieved deformation into complex temporary shapes through controlled swelling and subsequent fixation.
  • Confirmed reversible transformation between permanent and temporary shapes, with both being free-standing.

Conclusions:

  • The developed AP-SMP offers a novel, manipulation-free approach to programming complex shapes.
  • This automated method enhances the accuracy and reproducibility of SMP shape transformations.
  • AP-SMPs have the potential to significantly broaden the application scope of shape-memory polymers.