Literature DB >> 34006839

Biomimetic high performance artificial muscle built on sacrificial coordination network and mechanical training process.

Zhikai Tu1, Weifeng Liu2, Jin Wang3, Xueqing Qiu4, Jinhao Huang1, Jinxing Li1, Hongming Lou1.   

Abstract

Artificial muscle materials promise incredible applications in actuators, robotics and medical apparatus, yet the ability to mimic the full characteristics of skeletal muscles into synthetic materials remains a huge challenge. Herein, inspired by the dynamic sacrificial bonds in biomaterials and the self-strengthening of skeletal muscles by physical exercise, high performance artificial muscle material is prepared by rearrangement of sacrificial coordination bonds in the polyolefin elastomer via a repetitive mechanical training process. Biomass lignin is incorporated as a green reinforcer for the construction of interfacial coordination bonds. The prepared artificial muscle material exhibits high actuation strain (>40%), high actuation stress (1.5 MPa) which can lift more than 10,000 times its own weight with 30% strain, characteristics of excellent self-strengthening by mechanical training, strain-adaptive stiffening, and heat/electric programmable actuation performance. In this work, we show a facile strategy for the fabrication of intelligent materials using easily available raw materials.

Entities:  

Year:  2021        PMID: 34006839     DOI: 10.1038/s41467-021-23204-x

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  1 in total

1.  Strain-programmable fiber-based artificial muscle.

Authors:  Mehmet Kanik; Sirma Orguc; Georgios Varnavides; Jinwoo Kim; Thomas Benavides; Dani Gonzalez; Timothy Akintilo; C Cem Tasan; Anantha P Chandrakasan; Yoel Fink; Polina Anikeeva
Journal:  Science       Date:  2019-07-12       Impact factor: 47.728

  1 in total
  1 in total

Review 1.  A Shift from Efficiency to Adaptability: Recent Progress in Biomimetic Interactive Soft Robotics in Wet Environments.

Authors:  Jielun Fang; Yanfeng Zhuang; Kailang Liu; Zhuo Chen; Zhou Liu; Tiantian Kong; Jianhong Xu; Cheng Qi
Journal:  Adv Sci (Weinh)       Date:  2022-01-24       Impact factor: 16.806

  1 in total

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