Constrained shape-memory behaviors of multiple network elastomers

Most existing shape-memory polymers (SMPs) only generate low recovery stress, which restricts the applications of SMPs. To address this issue, here we investigate the shape-memory behaviors of multiple network elastomers (MNEs), a type of novel tough soft materials. The dynamic mechanical tests and uniaxial compression tests are used to characterize the mechanical behaviors of MNEs across the glass transition region. The constrained recovery tests show that the recovery stress depends on the deformation temperature, applied strain, and the number of networks. For double network elastomers with an 85 % programmed strain, the peak recovery stress and the final recovery stress are both larger than 20 MPa, which is significantly larger than the values reported in the literature.

Automated summary

This study investigates the shape-memory behaviors of multiple network elastomers (MNEs) and finds that they have higher recovery stress, which makes them more suitable for various applications compared to existing shape-memory polymers.