光磁驱动MXene/N-异丙基丙烯酰胺复合水凝胶自感知驱动器的制备与性能研究

Preparation and Performance Study of Light-Magnetic Driven MXene/N-Isopropylacrylamide Composite Hydrogel Self-Sensing Actuator

  • 摘要: 针对当前软体驱动器普遍存在的功能单一、驱动方式受限及缺乏自感知能力等关键问题,本文设计并制备了一种具有各向异性结构的双层水凝胶驱动器。该驱动器采用N-异丙基丙烯酰胺(NIPAM)/MXene复合材料作为光热驱动与传感层,聚二甲基硅氧烷(PDMS)/Fe3O4复合材料为磁性移动层(M-PDMS),成功实现光、磁双重刺激响应下运动与传感功能的一体化集成。得益于MXene优异的光热转换性能,该驱动器在近红外光调控下可完成复杂形变,60 s内即可实现-100°~160°的大角度变形;借助Fe3O4磁性纳米颗粒的磁响应特性,其在外界磁场作用下能实现速率达~10 mm/s的快速精准移动,具备可靠的远程磁控导航能力。同时,MXene赋予驱动器优异的应变传感特性,所制备的水凝胶驱动器表现出高导电性(0.103 S/m)、良好的应变敏感度(GF = 1.57~4.59)及宽拉伸范围(90%)。通过实时监测驱动器弯曲过程中的电阻变化,可实现对自身弯曲角度的精准感知与识别,为其在智能控制场景中的应用奠定基础。

     

    Abstract: To address the critical issues of limited functionality, restricted actuation methods, and lack of self-sensing capabilities commonly found in current soft actuators, this paper designs and fabricates a bilayer hydrogel actuator with an anisotropic structure. This actuator employs an N-isopropylacrylamide (NIPAM)/MXene composite as the photothermal actuation and sensing layer, while a polydimethylsiloxane (PDMS)/Fe3O4 composite serves as the magnetic moving layer (M-PDMS), successfully integrating motion and sensing functions under dual optical and magnetic stimulation. Leveraging MXene's exceptional photothermal conversion properties, the actuator undergoes complex deformations under near-infrared light control, achieving large-angle deformations from -100° to 160° within 60 seconds. Utilizing the magnetic response of Fe3O4 nanoparticles, it enables rapid and precise movement at speeds up to ~10 mm/s under external magnetic fields, demonstrating reliable remote magnetic control navigation. Concurrently, MXene endows the actuator with outstanding strain sensing properties. The fabricated hydrogel actuator exhibits high conductivity (0.103 S/m), excellent strain sensitivity (GF = 1.57~4.59) and a wide strain range (90%). By monitoring real-time changes in electrical resistance during bending, the actuator achieves precise self-bending angle perception and recognition, laying the foundation for its application in intelligent control scenarios.

     

/

返回文章
返回