@misc{izraylit_nonwoven_shapememory_2021, 
author={Izraylit, V., Heuchel, M., Kratz, K., Lendlein, A.},
title={Non-woven shape-memory polymer blend actuators},
year={2021},
howpublished = {journal article},
doi = {https://doi.org/10.1557/s43580-021-00063-8},
abstract = {The hierarchical design approach provides various opportunities to adjust the structural performance of polymer materials. Electrospinning processing techniques give access to molecular orientation as a design parameter, which we consider here in view of the shape-memory actuation performance. The aim of this work is to investigate how the reversible strain ε′rev can be affected by a morphology change from a bulk material to an electrospun mesh. ε′rev could be increased from 5.5 ± 0.5% to 15 ± 1.8% for a blend from a multiblock copolymer with poly(ε-caprolactone) (PCL) and poly(L-lactide) (PLLA) segments with oligo(D-lactide) (ODLA). This study demonstrates an effective design approach for enhancing soft actuator performance, which can be broadly applied in soft robotics and medicine.},
note = {Online available at: \url{https://doi.org/10.1557/s43580-021-00063-8} (DOI). Izraylit, V.; Heuchel, M.; Kratz, K.; Lendlein, A.: Non-woven shape-memory polymer blend actuators. MRS Advances. 2021. vol. 6, no. 33, 781-785. DOI: 10.1557/s43580-021-00063-8}}