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Self-Aware Artificial Coiled Yarn Muscles with Enhanced Electrical Conductivity and Durability via a Two-Step

Yongqi Gong1, Wanyi Chen2, Jianyang Li1

  • 1Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China.

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|February 11, 2023
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Summary

Researchers developed artificial muscles from common yarns that can both move and sense. These self-aware coiled yarn muscles offer enhanced electrical conductivity and durability for advanced human-robot interfaces.

Keywords:
artificial musclecoiled yarnintegrationself-awaresoft actuation

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Area of Science:

  • Materials Science
  • Robotics
  • Biomimetics

Background:

  • Biological muscles integrate sensing and actuation for adaptation.
  • Artificial muscles inspired by coiled/twisted fibers offer flexibility and light weight.
  • Integrated sensing-actuation in yarn-based artificial muscles is underdeveloped due to poor fiber interfaces.

Purpose of the Study:

  • To create self-sensing and actuating artificial muscles using commercially available yarns.
  • To enhance the electrical conductivity and durability of coiled yarn muscles.
  • To explore the potential for smart actuation systems and human-robot interfaces.

Main Methods:

  • A two-step process was employed to modify commercially available yarns.
  • Electrical conductivity and durability were enhanced through the two-step process.
  • Multimode sensing capabilities (stretch strain, pressure, actuation) were analyzed.

Main Results:

  • Artificial coiled yarn muscles with self-sensing and actuation functions were successfully fabricated.
  • Electrical resistivity was significantly reduced from 172.39 Ω·cm to 1.27 Ω·cm.
  • The muscles demonstrated good linearity, stability, and durability in sensing stretch strain, pressure, and actuation, with a strain perception sensitivity (gauge factor) up to 1.5.

Conclusions:

  • The developed artificial coiled yarn muscles offer a facile and versatile method for improving actuation-sensing performance.
  • These self-aware muscles can empower non-active objects with actuation and real-time monitoring without causing damage.
  • The technology holds significant potential for creating smart and interactive soft actuation systems.