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Introduction to Shape-Memory Polymers, Polymer Blends and Composites: State of the Art, Opportunities, New Challenges and Future Outlook

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Shape Memory Polymers, Blends and Composites

Part of the book series: Advanced Structured Materials ((STRUCTMAT,volume 115))

Abstract

This chapter provides an overview of shape-memory polymers and their blends and composites. The history of shape-memory polymers, their advantages, shape-memory cycles, classification and the molecular mechanism of the shape-memory effect are briefly discussed. The characterisation techniques such as dynamic mechanical thermal analysis (DMTA), differential scanning calorimetry (DSC), scanning electron microscopy (SEM), transmission electron microscopy (TEM), optical and polarized optical microscopy (OM and POM), atomic force microscopy (AFM), laser scanning confocal microscopy (LSCM), universal testing machine (UTM), nanoindentation technique, etc., are powerful techniques to investigate the shape-memory mechanism and shape-memory performance. Shape-memory polymers have myriad of potential applications in automobile, sports products and textile, aerospace and medical fields.

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Authors and Affiliations

  1. Department of Chemistry, Government College Kottayam, Kottayam, 686013, Kerala, India

    Seno Jose

  2. Department of Polymer Science and Rubber Technology, Cochin University of Science and Technology, Kochi, 682 022, Kerala, India

    Jinu Jacob George

  3. Department of Mechanical and Process Engineering, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, 1518 Pracharaj 1, Wongsawang Road, Bangsue, Bangkok, 10800, Thailand

    Suchart Siengchin

  4. Center of Innovation in Design and Engineering for Manufacturing, King Mongkut’s University of Technology North Bangkok, 1518 Pracharaj 1, Wongsawang Road, Bangsue, Bangkok, 10800, Thailand

    Jyotishkumar Parameswaranpillai

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  1. Center of Innovation in Design and Engineering for Manufacturing, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand

    Jyotishkumar Parameswaranpillai

  2. Department of Mechanical and Process Engineering, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand

    Suchart Siengchin

  3. Department of Polymer Science and Rubber Technology, Cochin University of Science and Technology, Kochi, Kerala, India

    Jinu Jacob George

  4. Department of Chemistry, Government College Kottayam, Kottayam, Kerala, India

    Seno Jose

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Jose, S., George, J.J., Siengchin, S., Parameswaranpillai, J. (2020). Introduction to Shape-Memory Polymers, Polymer Blends and Composites: State of the Art, Opportunities, New Challenges and Future Outlook. In: Parameswaranpillai, J., Siengchin, S., George, J., Jose, S. (eds) Shape Memory Polymers, Blends and Composites. Advanced Structured Materials, vol 115. Springer, Singapore. https://doi.org/10.1007/978-981-13-8574-2_1

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