Shape Memory Polymer Composites discusses the fabrication of smart polymer composites with their material characterization. It covers shape memory polymer composites with two different types of reinforcement: shape memory polymer nanocomposites and shape memory hybrid composites.
Enhancing the mechanical and thermomechanical properties of the shape memory polymers makes them an important class of materials for new age applications ranging from aerospace, biomedical, electronics, to marine engineering. The book discusses how shape memory polymer composites exhibit remarkable mechanical properties, as compared to its corresponding shape memory polymers, without compromising the shape memory behavior. It presents experimental case studies of polymers, polymer composites, and multiphase composites, explaining the effects of each reinforcement on the material properties with corresponding simulation.
The book will be a useful reference for industry professionals and researchers involved with the mechanics of shape memory materials.
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Dr. Nilesh Tiwari is a Management Executive in the department of R&D and Quality Control at Sunrise Industries India Limited. He holds a PhD in Mechanical Engineering from the esteemed Sardar Vallabhbhai National Institute of Technology, Surat (SVNIT, Surat). His research is centered on the development and thermomechanical analysis of Smart Polymer Composites. He has a notable publication record with over 15 research papers in reputable journals, along with 8 articles presented at national and international conferences. He also authored two book chapters and holds a patent. In addition to his industry involvement, Dr. Tiwari possesses over 5 years of teaching and research experience across various engineering institutes. His areas of expertise include polymer composites, multiphase computational mechanics, shape-memory materials fabrication, and material characterization.
Dr. Kanif M. Markad is an Associate Professor in the Department of Mechanical Engineering at Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar. He completed his PhD at Sardar Vallabhbhai National Institute of Technology, Surat with a specialization in "Finite Element Analysis of Shape Memory Polymer Composite Beam." He has over 15 publications in reputed journals and has presented 7 articles at various international conferences. He has extensive experience as an academician and researcher in reputed engineering and technology institutes. He taught Machine Design, Engineering Mechanics and Theory of Mechanics for more than 13 years. His areas of interest include computational mechanics, finite element analysis, smart composites, and material characterization.
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Paperback. Condición: new. Paperback. Shape Memory Polymer Composites discusses the fabrication of smart polymer composites with their material characterization. It covers shape memory polymer composites with two different types of reinforcement: shape memory polymer nanocomposites and shape memory hybrid composites.Enhancing the mechanical and thermomechanical properties of the shape memory polymers makes them an important class of materials for new age applications ranging from aerospace, biomedical, electronics, to marine engineering. The book discusses how shape memory polymer composites exhibit remarkable mechanical properties, as compared to its corresponding shape memory polymers, without compromising the shape memory behavior. It presents experimental case studies of polymers, polymer composites, and multiphase composites, explaining the effects of each reinforcement on the material properties with corresponding simulation.The book will be a useful reference for industry professionals and researchers involved with the mechanics of shape memory materials. Shape Memory Polymer Composites discusses the fabrication of smart polymer composites with their material characterization. It covers both SMPCs with two different types of reinforcement: shape memory polymer nanocomposites and shape memory hybrid composites (SMHCs). This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032490007
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