Shape memory materials constitute a distinct category capable of recovering their original shape after deformation. This book covers fabrication methodologies including exploration of diverse shape recovery mechanisms across alloys, polymers, ceramics, and hybrid compositions. Further, the focus extends to emerging applications and discussion of relationship between shape actuation rates and associated properties including the training procedures post-synthesis.
Features:
- Elaborates on the development of properties at high temperatures and hostile conditions.
- Details the emerging applications of shape memory materials, presenting a thorough overview of alloys and polymers.
- Provides evidence related to shape memory materials, covering aspects such as training, exact properties, mechanisms, and applications.
- Unveils a smart system developed based on shape memory materials, spanning from low to high operating temperatures.
- Communicates synthesis techniques by controlling the chemical composition towards the exact properties and its sustainability.
This book is aimed at graduate students and researchers in materials and polymer engineering.
This book covers fabrication methodologies including exploration of diverse shape recovery mechanisms across alloys, polymers, ceramics, and hybrid compositions. Further, it focuses on emerging applications and discusses relationship between shape actuation rates and associated properties including the training procedures post-synthesis.
Part 1: Shape Memory Materials (SMM).
Chapter
1. Shape memory materials:
An introduction.
Chapter
2. Historical Background of SMM.
Chapter
3. Shape
memory effect and Pseudoelasticity.
Chapter
4. Types of Stimuli Influencing
the Shape Recovery.
Chapter
5. Effect of Training in Shape Memory Material
(SMM).
Chapter
6. Measurement Techniques of Shape Recovery.
Chapter
7. Future
manufacturing in shape memory materials. Part 2: Shape Memory Alloys (SMA).
Chapter
8. Shape memory alloys: An introduction.
Chapter
9. Classification of
Shape Memory Alloy.
Chapter
10. Phase Transformation Phenomena in Shape
Memory Alloys.
Chapter
11. Synthesis Techniques of Shape Memory Alloys.
Chapter
12. Effect of Various Parameters on Shape Recovery of Shape Memory
Alloys.
Chapter
13. Properties of Shape Memory Alloys.
Chapter
14. Emerging
Applications of Shape Memory Alloys. Part 3: Shape Memory Polymer (SMP).
Chapter
15. Shape memory polymers: An introduction.
Chapter
16.
Classification of shape memory polymers.
Chapter
17. Training technique and
stability of smart material polymer nanocomposites.
Chapter
18. Phase
Transition in Shape Memory Polymers.
Chapter
19. Effects of Various
Parameters on the Performance of Shape-Memory Polymer Nanocomposites.
Chapter
20. Classification of Shape Memory Polymers.
Chapter
21. Properties of Shape
memory polymers
Ajit Behera is currently working as an Asst. Professor in the Department of Metallurgical & Materials Engineering at National Institute of Technology, Rourkela. He completed his PhD from IIT-Kharagpur in 2016. He received the National "IEI Young Engineer Award" in 2022, "Yuva Rattan Award" in 2020, "C.V. Raman Award" in 2019 and "young faculty award" in 2017. He has published more than 202 publications including book, book chapter, and journals. 5 students have completed their PhD under his supervision. More than 10 PhD students from his institute/outside the institute are working on different research projects with him. He has successfully completed 25 industrial/research projects and organized 12 industrial academia collaborating conferences. He is listed in top 2% scientist list in the world ranking.
Manisha Priyadarshini holds a PhD in Mechanical Engineering from the National Institute of Technology, Rourkela. With more than 40 research publications in reputed international journals and conferences, her work focuses on advanced mechanical aspects and manufacturing technologies with energy effeciency. She has collaborated with researchers, academicians, and industry experts on several projects and serves as a peer reviewer for published journals.
