Unraveling the impact of phase separation induced by thermal annealing on shape memory effect of polyester‐based thermoplastic polyurethane

2021 ◽  
pp. 51723
Author(s):  
Fernanda Cabrera Flores Valim ◽  
Gustavo Peixoto Oliveira ◽  
Gibran Vasconcelos ◽  
Lucilene Betega Paiva ◽  
Chiara Santillo ◽  
...  
Author(s):  
Lorenzo La Rosa ◽  
Francesco Maresca

Abstract Ni-Ti is a key shape memory alloy (SMA) system for applications, being cheap and having good mechanical properties. Recently, atomistic simulations of Ni-Ti SMAs have been used with the purpose of revealing the nano-scale mechanisms that control superelasticity and the shape memory effect, which is crucial to guide alloying or processing strategies to improve materials performance. These atomistic simulations are based on molecular dynamics modelling that relies on (empirical) interatomic potentials. These simulations must reproduce accurately the mechanism of martensitic transformation and the microstructure that it originates, since this controls both superelasticity and the shape memory effect. As demonstrated by the energy minimization theory of martensitic transformations [Ball, James (1987) Archive for Rational Mechanics and Analysis, 100:13], the microstructure of martensite depends on the lattice parameters of the austenite and the martensite phases. Here, we compute the bounds of possible microstructural variations based on the experimental variations/uncertainties in the lattice parameter measurements. We show that both density functional theory and molecular dynamics lattice parameters are typically outside the experimental range, and that seemingly small deviations from this range induce large deviations from the experimental bounds of the microstructural predictions, with notable cases where unphysical microstructures are predicted to form. Therefore, our work points to a strategy for benchmarking and selecting interatomic potentials for atomistic modelling of shape memory alloys, which is crucial to modelling the development of martensitic microstructures and their impact on the shape memory effect.


Polymers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2989
Author(s):  
Robert Tonndorf ◽  
Dilbar Aibibu ◽  
Chokri Cherif

Their highly deformable properties make shape memory polymers (SMP) a promising component for the development of new compression garments. The shape memory effect (SME) can be observed when two polymers are combined. In here, polycaprolactone (PCL) and thermoplastic polyurethane (TPU) were melt spun in different arrangement types (blend, core-sheath, and island-in-sea), whereas the best SME was observed for the blend type. In order to trigger the SME, this yarn was stimulated at a temperature of 50 °C. It showed a strain fixation of 62%, a strain recovery of 99%, and a recovery stress of 2.7 MPa.


2010 ◽  
Vol 115 (6) ◽  
pp. 3568-3575 ◽  
Author(s):  
Yong-Chan Chung ◽  
Byoung Chul Chun ◽  
Sang Do Lee ◽  
Jong Shin Park

RSC Advances ◽  
2017 ◽  
Vol 7 (54) ◽  
pp. 33701-33707 ◽  
Author(s):  
Yufen Zhang ◽  
Weiwei Li ◽  
Ronglan Wu ◽  
Wei Wang

We report a study on the triple-shape memory polymer composition of polyurethane/polymethyl methacrylate (PU/PMMA) synthesized using reaction-induced phase separation.


Author(s):  
F. I. Grace

An interest in NiTi alloys with near stoichiometric composition (55 NiTi) has intensified since they were found to exhibit a unique mechanical shape memory effect at the Naval Ordnance Laboratory some twelve years ago (thus refered to as NITINOL alloys). Since then, the microstructural mechanisms associated with the shape memory effect have been investigated and several interesting engineering applications have appeared.The shape memory effect implies that the alloy deformed from an initial shape will spontaneously return to that initial state upon heating. This behavior is reported to be related to a diffusionless shear transformation which takes place between similar but slightly different CsCl type structures.


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