Predicting thermal shape memory of crosslinked polymer networks from linear viscoelasticity

摘要: Abstract The viscoelastic behavior of an amorphous shape memory polymer network and its dependence on time temperature were measured by dynamic mechanical analysis. resulting thermo-mechanical was modeled implemented in a commercial finite element code. ability the thermomechanical model to simulate and, eventually, predict storage recovery material evaluated against experimental torsion data large deformation regimen. simulations showed excellent agreement with cycle data. This demonstrates temperature. results suggest that accurate predictions any networks under conditions combination solely depends considering viscoelasticity time–temperature dependence.