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Classification and Mechanical Properties of Synthetic Polymers01:28

Classification and Mechanical Properties of Synthetic Polymers

Synthetic polymers are classified as elastomers, fibers, or plastics based on their crystallinity. Crystallinity, the degree of long-range order in the solid state, influences the mechanical properties (stretching or contracting) of elastomers. Elastomers are flexible polymers that can expand or contract easily upon the application of an external force. They have numerous crosslinks that pull them back into their original shape when stress is removed. Silicones, for instance, are highly elastic...
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Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
09:37

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

Strong, Tailored, Biocompatible Shape-Memory Polymer Networks.

Christopher M Yakacki1, Robin Shandas, David Safranski

  • 1Research and Development, MedShape Solutions, Inc., Atlanta, GA 30318 (USA).

Advanced Functional Materials
|July 28, 2009
PubMed
Summary
This summary is machine-generated.

Researchers developed shape-memory polymer networks using methyl methacrylate and poly(ethylene glycol) dimethacrylate. Network glass transition temperature significantly impacts shape recovery, while rubbery modulus influences stress generation in shape-memory devices.

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Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Biomedical Engineering

Background:

  • Shape-memory polymers (SMPs) are smart materials with applications in biomedical devices and industry.
  • Their ability to change shape upon a specific stimulus makes them valuable for intelligent applications.

Purpose of the Study:

  • To investigate the relationship between polymer structure and recovery behavior in photopolymerized thermoset shape-memory networks.
  • To tailor thermomechanical properties for optimized shape-memory performance.

Main Methods:

  • Copolymerization of methyl methacrylate (MMA) and poly(ethylene glycol) dimethacrylate (PEGDMA) to create tunable networks.
  • Characterization of glass transition temperatures (T(g)) and rubbery modulus.
  • Evaluation of free-strain and fixed-strain recovery under various temperature conditions.

Main Results:

  • Glass transition temperature (T(g)) strongly influences free-strain recovery under isothermal and transient conditions.
  • Rubbery modulus has a negligible effect on free-strain recovery but correlates with stress generation during fixed-strain recovery.
  • Fixed-strain recovery under isothermal conditions exhibits complex behavior with varying T(g).

Conclusions:

  • The study establishes a link between polymer structure and shape-memory recovery behavior.
  • MMA-co-PEGDMA networks offer tunable thermomechanics for advanced shape-memory applications.
  • These networks show potential as high-strength shape-memory biomaterials for future device design.