With
a high melting temperature and good crystallization ability,
poly(neopentyl glycol 2,5-furandicarboxylate) (PNF), a polyester derived
from bio-based 2,5-furandicarboxylic acid and neopentyl glycol, has
been proposed and proved to be a promising hard segment for the development
of novel bio-based thermoplastic poly(ether-ester) elastomer (TPEE).
The resulting TPEE, namely PNF–PTMG, has high performance comparable
to the petroleum-based counterpart PBT–PTMG (i.e., Hytrel,
Dupont). Among all of the existing polyesters derived from bio-based
2,5-furandicarboxylic acid (FDCA), PNF has perfectly balanced properties,
namely, a high melting temperature of 200 °C and a good crystallization
ability to easily grow medium to large-size crystalline spherulites.
Characterizations based on dynamic mechanical analysis and small-angle
X-ray scattering suggest that there are two domains in PNF–PTMG,
the crystalline PNF and a mixture of amorphous PNF and PTMG. These
two domains form microphase separation induced mainly by the crystallization
of PNF. By adjusting the PTMG soft segment from 30 to 60 wt%, PNF–PTMG
shows a melting temperature, tensile modulus (E),
and elongation at the break (εb) ranging from 180
to 134 °C, 738 to 56 MPa, and 38 to 1089%, respectively. More
importantly, the shape recovery ratios increase from 57 to 90% at
200% strain when the amount of PTMG increases from 50 to 70 wt%, indicating
excellent elastic property. These results indicate that PNF is an
excellent hard segment to serve as a strong physical cross-link so
that PNF–PTMG is able to display high performance comparable
to extensively commercialized PBT–PTMG.
Improving the phase separation and stability of the hard segment domains at the same time is the novel method reported here to improve the recovery of thermoplastic shape memory polyurethanes (SMPUs) at high strain (>1000%). The shape recovery of the corresponding SMPUs with a more than 1000% strain can reach about 96% at room temperature in 3 min, the recoverable strain (3 max À 3 permanent ) is more than 960%, which is nearly 2.5 times that of the best value (400%) previously reported.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.