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Dual-Responsive MXene-Functionalized Wool Yarn Artificial Muscles.

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Summary
This summary is machine-generated.

Researchers developed dual-responsive yarn muscles using MXene/cellulose nanofibers in wool. These artificial muscles exhibit high actuation force, responding to moisture and light for smart textiles and soft robotics.

Keywords:
MXeneartificial musclesphotothermal actuatorssmart textilewool

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Area of Science:

  • Materials Science
  • Textile Engineering
  • Nanotechnology

Background:

  • Fiber-based artificial muscles offer potential for smart textiles but face limitations in deformation, stimulation, and comfort.
  • Current artificial muscles struggle with practical applications in wearable technology and engineering fields.

Purpose of the Study:

  • To fabricate dual-responsive yarn muscles with high contractile actuation force for advanced smart textiles.
  • To overcome limitations of existing artificial muscles for wearable and engineering applications.

Main Methods:

  • Incorporation of Ti3C2Tx MXene/cellulose nanofibers (CNF) composites into self-plied and twisted wool yarns.
  • Fabrication of spring-like yarn muscles through homochiral or heterochiral coiling.
  • Utilizing moisture and photothermal stimulation for actuation.
  • Clarification of actuation mechanism via experiments and finite element simulations.

Main Results:

  • Yarn muscles demonstrated the ability to lift loads exceeding 3400 times their own weight.
  • Spring-like yarn muscles achieved over 550% elongation and 83% contraction under photothermal stimulation.
  • MXene/CNF composites acted as effective photothermal and hygroscopic agents, accelerating water evaporation and moisture absorption.

Conclusions:

  • Dual-responsive yarn muscles offer a low-cost, scalable, and robust solution for soft actuators.
  • These artificial muscles are attractive for intelligent textiles, self-adaptive textiles, soft robotics, and wearable information encryption.
  • The developed materials provide a promising pathway for advanced wearable and engineering applications.