Bismaleimide Based Shape Memory Polymers: Correlation Between Chemical Composition and Mechanical Properties

2011 ◽  
Author(s):  
Amber McClung ◽  
Joseph Shumaker ◽  
Jeffery Baur ◽  
Stephanie Reed ◽  
Shawna Matthys
Keyword(s):  
Mechanical Properties ◽  
Chemical Composition ◽  
Shape Memory ◽  
Shape Memory Polymers

Poly(ε-caprolactone)-based shape memory polymers crosslinked by polyhedral oligomeric silsesquioxane

RSC Advances ◽  
2016 ◽  
Vol 6 (93) ◽  
pp. 90212-90219 ◽  
Author(s):  
Pengfei Yang ◽  
Guangming Zhu ◽  
Xuelin Shen ◽  
Xiaogang Yan ◽  
Jing Nie
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Shape Memory ◽  
Polyhedral Oligomeric Silsesquioxane ◽  
Shape Memory Polymers ◽  
Complete Recovery ◽  
Memory Network ◽  
Oligomeric Silsesquioxane

A POSS–PCL shape memory network is synthesized. The cage-like POSS not only serves as a chemical netpoint, also causes improvement in mechanical properties. Optimized networks exhibit both excellent tensile strength and nearly complete recovery.

Mechanical properties of shape memory polymers for morphing aircraft applications

2005 ◽  
Author(s):  
Michelle M. Keihl ◽  
Robert S. Bortolin ◽  
Brian Sanders ◽  
Shiv Joshi ◽  
Zeb Tidwell
Keyword(s):  
Mechanical Properties ◽  
Shape Memory ◽  
Shape Memory Polymers ◽  
Morphing Aircraft

J044012 Evaluation of Mechanical Properties of Shape-Memory Polymers Sheets

2013 ◽  
Vol 2013 (0) ◽  
pp. _J044012-1-_J044012-5
Author(s):  
Kazuhiro SUGITANI ◽  
Kazuto TAKASHIMA ◽  
Toshiro NORITSUGU ◽  
Toshiharu MUKAI
Keyword(s):  
Mechanical Properties ◽  
Shape Memory ◽  
Shape Memory Polymers

Enabling Applications of Covalent Adaptable Networks

2019 ◽  
Vol 10 (1) ◽  
pp. 175-198 ◽  
Author(s):  
Matthew K. McBride ◽  
Brady T. Worrell ◽  
Tobin Brown ◽  
Lewis M. Cox ◽  
Nancy Sowan ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Shape Memory ◽  
Rheological Behavior ◽  
Material Properties ◽  
Viscoelastic Properties ◽  
Shape Memory Polymers ◽  
Dynamic Reaction ◽  
Chemical Stimuli ◽  
Applied Fields ◽  
Covalent Crosslinks

The ability to behave in a fluidlike manner fundamentally separates thermoset and thermoplastic polymers. Bridging this divide, covalent adaptable networks (CANs) structurally resemble thermosets with permanent covalent crosslinks but are able to flow in a manner that resembles thermoplastic behavior only when a dynamic chemical reaction is active. As a consequence, the rheological behavior of CANs becomes intrinsically tied to the dynamic reaction kinetics and the stimuli that are used to trigger those, including temperature, light, and chemical stimuli, providing unprecedented control over viscoelastic properties. CANs represent a highly capable material that serves as a powerful tool to improve mechanical properties and processing in a wide variety of polymer applications, including composites, hydrogels, and shape-memory polymers. This review aims to highlight the enabling material properties of CANs and the applied fields where the CAN concept has been embraced.

Mechanics of Crystalline Nanowires

MRS Bulletin ◽  
2009 ◽  
Vol 34 (3) ◽  
pp. 178-183 ◽  
Author(s):  
Harold S. Park ◽  
Wei Cai ◽  
Horacio D. Espinosa ◽  
Hanchen Huang
Keyword(s):  
Experimental Data ◽  
Mechanical Properties ◽  
Chemical Composition ◽  
Shape Memory ◽  
Volume Ratio ◽  
Building Blocks ◽  
Elastic Stiffness ◽  
Atomistic Simulations ◽  
One Dimensional ◽  
Future Challenges

AbstractNanowires are among the most exciting one-dimensional nanomaterials because of their unique properties, which result primarily from their chemical composition and large surface area to volume ratio. These properties make them ideal building blocks for the development of next generation electronics, opto-electronics, and sensor systems. In this article, we focus on the unique mechanical properties of nanowires, which emerge from surface atoms having different electron densities and fewer bonding neighbors than atoms lying within the nanowire bulk. In this respect, atomistic simulations have revealed a plethora of novel surface-driven mechanical behavior and properties, including both increases and decreases in elastic stiffness, phase transformations, shape memory, and pseudoelastic effects. This article reviews such atomistic simulations, as well as experimental data of these phenomena, while assessing future challenges and directions.

PCL-PLLA Semi-IPN Shape Memory Polymers (SMPs): Degradation and Mechanical Properties

2016 ◽  
Vol 37 (23) ◽  
pp. 1972-1977 ◽  
Author(s):  
Lindsay N. Woodard ◽  
Vanessa M. Page ◽  
Kevin T. Kmetz ◽  
Melissa A. Grunlan
Keyword(s):  
Mechanical Properties ◽  
Shape Memory ◽  
Shape Memory Polymers
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