执行机构
材料科学
复合数
形状记忆合金
刚度
钕磁铁
形状记忆聚合物
复合材料
气动执行机构
机械工程
磁铁
计算机科学
工程类
人工智能
作者
Weifan Zhou,Fu Hou Lei,Yangyong Zhao,Hao Zhu,Shengzhao Li,Peng Lu,Jingyi Xu,Shihao Deng,Zhen Zhou,Tie Li,Ting Zhang
出处
期刊:Soft robotics
[Mary Ann Liebert]
日期:2025-01-17
标识
DOI:10.1089/soro.2023.0184
摘要
Soft magnetic robots have attracted extensive research interest recently due to their fast-transforming ability and programmability. Although the inherent softness of the matrix materials enables dexterity and safe interactions, the contradiction between the easy shape transformation of the soft matrices and load carrying capacity, as well as the difficulty of independently controllable motion of individual segments, severely limits its design space and application potentials. Herein, we have proposed a strategy to adjust the modulus of shape memory polymer composite embedded with hard magnetic particles by in situ Joule heating of printed circuit, which can reversibly change the stiffness from 4.1 GPa at 25°C to 10.9 MPa at 70°C. The stiffness tunable magnetic robots realize the compatibility of fast reversible shape transformation and high load carrying capacity. Furthermore, multiple separated Joule circuits are designed for the independently controllable motion of individual segments. The simulation of Joule heating and magnetic actuation is used to guide the design of devices. The concept of simultaneously programming magnetic anisotropy and stiffness proposed in this work greatly expands the design space and new applications of magnetic actuators, including soft grippers for heavy loads and bionic hand with independent motion of fingers.
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