Classification of Shape-Memory Polymers, Polymer Blends, and Composites

Author(s):  
Krzysztof Strzelec ◽  
Natalia Sienkiewicz ◽  
Tomasz Szmechtyk
2014 ◽  
Vol 47 (19) ◽  
pp. 6791-6803 ◽  
Author(s):  
Cédric Samuel ◽  
Sophie Barrau ◽  
Jean-Marc Lefebvre ◽  
Jean-Marie Raquez ◽  
Philippe Dubois

2008 ◽  
Vol 8 (4) ◽  
pp. 1616-1637 ◽  
Author(s):  
I. Sedat Gunes ◽  
Sadhan C. Jana

This paper aims to present a review of recent progress made on shape memory polymers (SMPs) and their nanocomposites. Developments in allied fields are also presented in an effort to identify the current and future trends in this area. A new classification of SMP—rubberlike and mesomorphic systems—is suggested. The underlying physical mechanisms of shape memory actions, polymer-nanofiller interactions, and the resultant properties of SMP nanocomposites are discussed. Examples are presented to highlight the influence of processing conditions, filler geometry and filler surface characteristics, and the nature of matrix polymers on shape memory properties. A short description of current and potential applications is also presented.


Author(s):  
Sanjay Mavinkere Rangappa ◽  
Suchart Siengchin ◽  
Jyotishkumar Parameswaranpillai

2009 ◽  
Vol 1190 ◽  
Author(s):  
Marc Behl ◽  
Ute Ridder ◽  
Wolfgang Wagermaier ◽  
Steffen Kelch ◽  
Andreas Lendlein

AbstractThe general design principle of shape-memory polymers (SMP) requires two key compo-nents: covalent or physical crosslinks (hard domains) determining the permanent shape and switching domains fixing the temporary shape as well as influencing the switching temperature Tsw. In conventional thermoplastic SMP hard and switching domains determining segments are combined in one macromolecule, e.g. block copolymers such as polyurethanes. Recently, binary polymer blends having shape-memory properties, from two different multiblock copolymers have been presented, whereby the first one is providing the segments forming hard domains and the second one the segments forming the switching domains. Besides the shape-memory proper-ties, the mechanical properties of such materials are application relevant. Here we investigate how the blend composition influences mechanical properties of this new class of shape-memory materials.


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