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

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.

Flexural Testing of Shape Memory Polymers for Morphing Aircraft Applications

2007 ◽  
Author(s):  
Korey Gross ◽  
Lisa Weiland
Keyword(s):  
Glass Transition ◽  
Transition Temperature ◽  
Shape Memory ◽  
Shape Memory Polymers ◽  
Morphing Aircraft ◽  
Flexural Testing ◽  
Soft State ◽  
Out Of Plane ◽  
Hard State ◽  
Significant Attention

Shape memory polymers (SMPs) have garnered significant attention in recent years for their potential to return to a “memorized” state when warmed above their glass transition temperature Tg. However, they also have potential in morphing aircraft applications because of their significant modulus change above and below Tg. Much less energy is required to deform this material when in its soft state, but when the material returns to the hard state, it is able to support significant loads. In the proposed effort, SMP is experimentally considered as a candidate material for morphing aircraft applications where the material’s ability to support out of plane loads above and below the Tg is of primary importance. The SMP of study in the work is Veriflex®.

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.

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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