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Shape Memory Materials from Rubbers.

Arunima Reghunadhan1, Keloth Paduvilan Jibin2, Abitha Vayyaprontavida Kaliyathan2

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Summary
This summary is machine-generated.

This paper explores shape memory effect (SME) in elastomers, detailing their properties, influencing factors, and applications. It highlights how polymer characteristics and fillers impact SME effectiveness in smart materials.

Keywords:
applicationselastomerfixityrecoveryshape memory

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Area of Science:

  • Materials Science
  • Polymer Science

Background:

  • Smart materials are gaining research attention.
  • The shape memory effect (SME) is a key phenomenon in smart materials, observed in various alloys and polymers.
  • Elastomers, including rubbers and polyurethanes, exhibit notable SME properties.

Purpose of the Study:

  • To provide an in-depth discussion on the shape memory properties of elastomers.
  • To cover the theory, influencing factors, and key applications of SME in elastomers.
  • To analyze the effectiveness of SMEs through shape fixity and recovery rate studies.

Main Methods:

  • Review of existing literature on SME in elastomers.
  • Analysis of thermomechanical cycle studies to assess shape fixity and recovery rate.
  • Investigation into the influence of polymer properties and fillers on SME.

Main Results:

  • SME is observed in diverse elastomers and composites.
  • Thermomechanical studies are crucial for evaluating SME effectiveness.
  • Polymer chain length and filler inclusion (clays, nanoparticles, second phase polymers) directly influence SME.

Conclusions:

  • Elastomers demonstrate significant shape memory properties with diverse applications.
  • Understanding the impact of material composition is key to optimizing SME in elastomers.
  • Further research into SME elastomers can lead to advanced smart material applications.