scholarly journals Shape memory polymers with high and low temperature resistant properties

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Xinli Xiao ◽  
Deyan Kong ◽  
Xueying Qiu ◽  
Wenbo Zhang ◽  
Yanju Liu ◽  
...  
Keyword(s):  
Low Temperature ◽  
Shape Memory ◽  
Shape Memory Polymers

Time and Temperature Dependent Recovery of Epoxy-Based Shape Memory Polymers

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
Francisco Castro ◽  
Kristofer K. Westbrook ◽  
Jason Hermiller ◽  
Dae Up Ahn ◽  
Yifu Ding ◽  
...  
Keyword(s):  
High Temperature ◽  
Low Temperature ◽  
Shape Memory ◽  
Recovery Rate ◽  
Thermal Conditions ◽  
Shape Memory Polymers ◽  
Time Frame ◽  
Scanning Calorimetry ◽  
Recoverable Strain ◽  
External Stimuli

Shape memory polymers (SMPs) are a group of adaptive polymers that can recover the permanent shape from a temporary shape by external stimuli on demand. Among a variety of external stimuli for polymer actuation, temperature is the most extensively used. In SMP applications, one of the major design considerations is the time necessary to recover the shape without external deformation constraints, or free recovery, and the amount of the recoverable strain. This paper investigates the amount of the recoverable strain and the recovery rate of an epoxy-based SMP (Veriflex® E, VFE1-62 (CRG, Dayton, OH)) under different thermal conditions. In particular, the free recovery behaviors of the SMPs under two experimental protocols, isothermal and shape memory (SM) cycle, are studied. It is found that free recovery in isothermal experiments is much faster than that in a SM cycle at the same recovering temperature and the material is fully recoverable at the temperature above differential scanning calorimetry Tg. Furthermore, for the recovery in SM cycle experiments, reshaping the sample at a low temperature and recovering from the deformation at a high temperature yield the fastest recovery rate, while reshaping at a high temperature and recovering at a low temperature cannot recover the original shape within this work’s experimental time frame. The possible mechanism for these observations is discussed.

Tissue Integration of Two Different Shape-Memory Polymers with Poly(ε-Caprolactone) Switching Segment in Rats

2008 ◽  
Author(s):  
Bernhard Hiebl ◽  
Dorothee Rickert ◽  
Rosemarie Fuhrmann ◽  
Friedrich Jung ◽  
Andres Lendlein ◽  
...  
Keyword(s):  
Shape Memory ◽  
Shape Memory Polymers ◽  
Tissue Integration

Three-dimensional Graphene Coated Shape Memory Polyurethane Foam with Fast Responsive Performance

2021 ◽  
Author(s):  
Tianjiao Wang ◽  
Jun Zhao ◽  
Chuanxin Weng ◽  
Tong Wang ◽  
Yayun Liu ◽  
...  
Keyword(s):  
Shape Memory ◽  
Polyurethane Foam ◽  
Three Dimensional ◽  
Shape Memory Polymers ◽  
Practical Applications ◽  
External Stimuli ◽  
Shape Memory Polyurethane

Shape memory polymers (SMPs) that change shapes as designed by external stimuli have become one of the most promising materials as actuators, sensors, and deployable devices. However, their practical applications...

Macroporous Superhydrophobic Coatings with Switchable Wettability Enabled by Smart Shape Memory Polymers

2021 ◽  
pp. 2002111
Author(s):  
Calen J. Leverant ◽  
Yifan Zhang ◽  
Maria A. Cordoba ◽  
Sin‐Yen Leo ◽  
Nilesh Charpota ◽  
...  
Keyword(s):  
Shape Memory ◽  
Shape Memory Polymers ◽  
Superhydrophobic Coatings

scholarly journals Harnessing reversible dry adhesion using shape memory polymer microparticles

RSC Advances ◽  
2021 ◽  
Vol 11 (32) ◽  
pp. 19616-19622
Author(s):  
Wenbing Li ◽  
Junhao Liu ◽  
Wanting Wei ◽  
Kun Qian
Keyword(s):  
Shape Memory ◽  
Shape Memory Polymer ◽  
Shape Memory Polymers ◽  
Memory Effects ◽  
Reversible Adhesion ◽  
Dry Adhesion ◽  
Bonding Property ◽  
Shape Memory Effects ◽  
Polymer Microparticles

Shape memory polymers can provide excellent bonding property because of their shape memory effects. This paper proposes an adhesive unit that is capable of repeatable smart adhesion and exhibits reversible adhesion under heating.

scholarly journals Machine learning assisted discovery of new thermoset shape memory polymers based on a small training dataset

Polymer ◽  
2021 ◽  
Vol 214 ◽  
pp. 123351
Author(s):  
Cheng Yan ◽  
Xiaming Feng ◽  
Collin Wick ◽  
Andrew Peters ◽  
Guoqiang Li
Keyword(s):  
Machine Learning ◽  
Shape Memory ◽  
Shape Memory Polymers ◽  
Training Dataset
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