材料科学
软机器人
制作
聚合物
执行机构
智能聚合物
纳米技术
智能材料
形状记忆聚合物
人工肌肉
相(物质)
工作(物理)
纤维
能量(信号处理)
机器人学
生物系统
形状记忆合金
简单(哲学)
纳米结构
相变
计算机科学
机械工程
储能
聚合物混合物
作者
Xinchao Sun,Qiankun Zhang,Dequan Chi,Chao Wu,Xiaonan Wang,Lingyu Xu,Zhongjun Cheng,Ziyi Xie,Shumao Li,Dongjie Zhang,Yuyan Liu
标识
DOI:10.1002/adfm.202526834
摘要
ABSTRACT Shape memory polymers (SMPs) are promising for soft robotics and artificial muscles, yet their applicability is largely limited by their recovery onset temperature ( T on ). However, conventional T on regulation relies on compositional changes or complex post‐treatments, hindering the integration of multiple, precisely defined T on within one system. Here, we present a simple strategy to continuously tune T on (28°C–85°C) by controlling phase structures in chemical fixed dual‐network polymers via polymerization‐induced phase separation (PIPS). Furthermore, digital light processing (DLP) enables spatial programming of T on within a single material, allowing the fabrication of fiber actuators with programmable energy release, exhibiting a fourfold difference in release rate and stable performance over 120 cycles. This work provides a new route for designing SMP‐based intelligent actuators, soft robotics, and adaptive systems.
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