Premium
Magnetic Shape Memory Polymers with Integrated Multifunctional Shape Manipulation
Author(s) -
Ze Qiji,
Kuang Xiao,
Wu Shuai,
Wong Janet,
Montgomery S. Macrae,
Zhang Rundong,
Kovitz Joshua M.,
Yang Fengyuan,
Qi H. Jerry,
Zhao Ruike
Publication year - 2020
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201906657
Subject(s) - materials science , shape memory polymer , morphing , shape memory alloy , smart material , magnetic nanoparticles , actuator , grippers , soft robotics , nanotechnology , remanence , composite number , magnet , coercivity , magnetization , computer science , mechanical engineering , magnetic field , composite material , nanoparticle , artificial intelligence , condensed matter physics , engineering , physics , quantum mechanics
Shape‐programmable soft materials that exhibit integrated multifunctional shape manipulations, including reprogrammable, untethered, fast, and reversible shape transformation and locking, are highly desirable for a plethora of applications, including soft robotics, morphing structures, and biomedical devices. Despite recent progress, it remains challenging to achieve multiple shape manipulations in one material system. Here, a novel magnetic shape memory polymer composite is reported to achieve this. The composite consists of two types of magnetic particles in an amorphous shape memory polymer matrix. The matrix softens via magnetic inductive heating of low‐coercivity particles, and high‐remanence particles with reprogrammable magnetization profiles drive the rapid and reversible shape change under actuation magnetic fields. Once cooled, the actuated shape can be locked. Additionally, varying the particle loadings for heating enables sequential actuation. The integrated multifunctional shape manipulations are further exploited for applications including soft magnetic grippers with large grabbing force, reconfigurable antennas, and sequential logic for computing.