Shape-Memory Polymer Device Design
Author | : David L. Safranski |
Publisher | : William Andrew |
Total Pages | : 247 |
Release | : 2017-05-20 |
ISBN-10 | : 9780323378086 |
ISBN-13 | : 0323378080 |
Rating | : 4/5 (080 Downloads) |
Download or read book Shape-Memory Polymer Device Design written by David L. Safranski and published by William Andrew. This book was released on 2017-05-20 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shape-Memory Polymer Device Design discusses the latest shape-memory polymers and the ways they have started to transition out of the academic laboratory and into devices and commercial products. Safranski introduces the properties of shape-memory polymers and presents design principles for designing and manufacturing, providing a guide for the R&D engineer/scientist and design engineer to add the shape memory effect of polymers into their design toolbox. This is the first book to focus on applying basic science knowledge to design practical devices, introducing the concept of shape-memory polymers, the history of their use, and the range of current applications. It details the specific design principles for working with shape-memory polymers that don't often apply to mechanically inactive materials and products. Material selection is thoroughly discussed because chemical structure and thermo-mechanical properties are intrinsically linked to shape-memory performance. Further chapters discuss programming the temporary shape and recovery through a variety of activation methods with real world examples. Finally, current devices across a variety of markets are highlighted to show the breadth of possible applications. - Demystifies shape-memory polymers, providing a guide to their properties and design principles - Explores a range of current and emerging applications across sectors, including biomedical, aerospace/automotive, and consumer goods - Places shape-memory polymers in the design toolkit of R&D scientists/engineers and design engineers - Discusses material selection in-depth because chemical structure and thermo-mechanical properties are intrinsically linked to shape-memory performance