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Adaptively reconstructing network of soft elastomers to increase strand rigidity: towards free-standing electro-actuation strain over 100%
Materials Horizons ( IF 12.2 ) Pub Date : 2021-08-20 , DOI: 10.1039/d1mh01020d
Zheqi Chen 1 , Zipeng Ma 1 , Jiali Tang 1 , Youhua Xiao 2 , Jie Mao 3 , Yiting Cai 1 , Junjie Zhao 1 , Xiang Gao 1 , Tiefeng Li 4 , Yingwu Luo 1
Affiliation  

Soft biological tissues and muscles composed of semiflexible networks exhibit rapid strain-hardening behaviors to protect them from accidental rupture. In contrast, synthetic soft elastomers, usually featuring flexible networks, lack such behaviors, leading to a notorious issue when applying them to a promising artificial muscle technology (dielectric elastomer, DE), that is electromechanical instability (EMI) induced premature breakdown. We report that a facile thermomechanical training method can adaptively reconstruct the network of a soft triblock copolymer elastomer to transform its flexible network strands into semiflexible ones without extra chemical modifications and additives so that the electro-actuation performance is significantly enhanced by avoiding EMI. The free-standing actuators of trained elastomers exhibit a large stable electro-actuation strain and a high theoretical energy density (133%, 307 kJ m−3 at 158.1 V μm−1), and the capacity of actuating at low-temperature environments (−15 °C).

中文翻译:

自适应重建软弹性体网络以增加股线刚度:实现超过 100% 的独立电驱动应变

由半柔性网络组成的软生物组织和肌肉表现出快速的应变硬化行为,以保护它们免受意外破裂。相比之下,通常具有柔性网络的合成软弹性体缺乏这种行为,当将它们应用于有前途的人造肌肉技术(介电弹性体,DE)时,会导致一个臭名昭著的问题,即机电不稳定性(EMI)引起的过早击穿。我们报告说,一种简便的热机械训练方法可以自适应地重建软三嵌段共聚物弹性体的网络,将其柔性网络链转化为半柔性网络,无需额外的化学修饰和添加剂,从而通过避免 EMI 显着提高电驱动性能。-3 at 158.1 V μm -1 ),以及在低温环境 (-15 °C) 下的驱动能力。
更新日期:2021-09-06
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