Self-Healing Polymer-Based Systems presents all aspects of self-healing polymeric materials, offering detailed information on fundamentals, preparation methods, technology, and applications, and drawing on the latest state-of-the-art research. The book begins by introducing self-healing polymeric systems, with a thorough explanation of underlying concepts, challenges, mechanisms, kinetic and thermodynamics, and types of chemistry involved. The second part of the book studies the main categories of self-healing polymeric material, examining elastomer-based, thermoplastic-based, and thermoset-based materials in turn. This is followed by a series of chapters that examine the very latest advances, including nanoparticles, coatings, shape memory, self-healing biomaterials, ionomers, supramolecular polymers, photoinduced and thermally induced self-healing, healing efficiency, life cycle analysis, and characterization. Finally, novel applications are presented and explained. This book serves as an essential resource for academic researchers, scientists, and graduate students in the areas of polymer properties, self-healing materials, polymer science, polymer chemistry, and materials science. In industry, this book contains highly valuable information for R&D professionals, designers, and engineers, who are looking to incorporate self-healing properties in their materials, products, or components. – Provides comprehensive coverage of self-healing polymeric materials, covering principles, techniques, and applications- Includes the very latest developments in the field, such as the role of nanofillers in healing, life cycle analysis of materials, and shape memory assisted healing- Enables the reader to unlock the potential of self-healing polymeric materials for a range of advanced applications
Anu Surendran & Sabu Thomas
Self-Healing Polymer-Based Systems [EPUB ebook]
Self-Healing Polymer-Based Systems [EPUB ebook]
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Langue Anglais ● Format EPUB ● ISBN 9780128184516 ● Éditeur Anu Surendran & Sabu Thomas ● Maison d’édition Elsevier Science ● Publié 2020 ● Téléchargeable 3 fois ● Devise EUR ● ID 7368173 ● Protection contre la copie Adobe DRM
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