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Semicrystalline Shape‐Memory Elastomers: Effects of Molecular Weight, Architecture, and Thermomechanical Path
Author(s) -
Lee Hojun,
Yang JehChang,
Thoppey Nagarajan,
Anthamatten Mitchell
Publication year - 2017
Publication title -
macromolecular materials and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 96
eISSN - 1439-2054
pISSN - 1438-7492
DOI - 10.1002/mame.201700297
Subject(s) - materials science , pentaerythritol , elastomer , shape memory polymer , glass transition , shape memory alloy , composite material , trimethylolpropane , crystallinity , polymer , deformation (meteorology) , polymer chemistry , polyurethane , fire retardant
Poly(caprolactone) networks are well‐studied shape‐memory polymers owing to their high fixity and recovery, their ability to store large amounts of elastic energy, and their tunable shape‐triggering temperature. To elucidate the influence of network structure on shape‐memory features, poly(caprolactone) networks are prepared by reacting different molecular weight diacrylate prepolymers with trifunctional (trimethylolpropane tris(3‐mercaptopropionate), 3T ) or tetrafunctional (pentaerythritol tetrakis(3‐mercaptopropionate), 4T ) crosslinkers. Networks from 4T crosslinkers generally exhibit higher gel fractions, more elastically active strands, and superior shape‐memory properties compared with networks from 3T . Melted elastomers exhibit stress–strain behavior well described by the neo‐Hookean model. How the state of crystallization during the cold‐drawing process has a large effect on the draw stress, the network's shape fixity, and its elastic storage capacity is shown. Finally, the working strain range of networks is evaluated. Cured elastomers prepared from prepolymers with different molecular weights can store and release large amounts of elastic energy (>2 MJ m −3 ), over different ranges of tensile strain.