Self-sensing coaxial muscle fibers with bi-lengthwise actuation.

Journal: Materials horizons
Published Date:

Abstract

Artificial muscle fibers as a promising biomimetic actuator are needed for such applications as smart soft robots, muscle function restoration, and physical augmentation. Currently developed artificial muscle fibers have shown attractive performance in contractile and torsional actuations. However, the contractile muscle fibers do not have the capability of stimulus-responsive elongation, and real-time identifying their contractile position by themselves is still challenging. We report herein the preparation of a TiCT MXene/single walled carbon-nanotubes (SWCNTs)-coated carbon nanotube (CNT)@polydimethylsiloxane (PDMS) coaxial muscle fiber that integrates the important features of self-position sensing and bi-lengthwise actuation. The bi-lengthwise actuation is realized by utilizing the large expansion coefficient difference of PDMS in response to solvent and heat, which results in ∼5% maximum elongation by n-heptane adsorption and ∼19% maximum contraction by electric heating under the optimal conditions. Meanwhile, due to the piezoresistive effect of the MXene/SWCNTs layer, the resistance change of this coating layer is almost linearly dependent on the contraction of the coaxial muscle fiber, providing a function of real-time self-position sensing. Furthermore, an application of using a bundle of these multifunctional coaxial muscle fibers for a bionic arm has been demonstrated, which provides new insights into the design of integrated intelligent artificial muscles with synergistic multiple functions.

Authors

  • Lizhong Dong
    School of Nano-Technology and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China. jtdi2009@sinano.ac.cn.
  • Ming Ren
    Department of Orthopedics of the Second Hospital of Jilin University, Ziqiang Street 218, Changchun, Jilin 130041, China.
  • Yulian Wang
    School of Nano-Technology and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China. jtdi2009@sinano.ac.cn.
  • Jian Qiao
    Advanced Materials Division, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.
  • Yulong Wu
    Advanced Materials Division, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.
  • Jianfeng He
    Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
  • Xulin Wei
    School of Nano-Technology and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China. jtdi2009@sinano.ac.cn.
  • Jiangtao Di
    School of Nano-Technology and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China. jtdi2009@sinano.ac.cn.
  • Qingwen Li
    College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.