Microstructure and Self-Healing Capability of Artificial Skin Composites Using Biomimetic Fibers Containing a Healing...

Area of Science:

• Materials Science
• Robotics
• Biomaterials Engineering

Background:

• Artificial skin for AI robots faces challenges with aging and damage.
• Developing self-healing materials is crucial for enhancing the durability and longevity of robotic systems.

Purpose of the Study:

• To develop a biomimetic self-healing artificial skin composite for AI robots.
• To investigate the self-healing mechanism and efficiency of the developed material.

Main Methods:

• Fabrication of poly (vinylidene fluoride) (PVDF) fibers containing a liquid healing agent.
• Incorporation of these fibers into a glycol-polyvinyl alcohol-gelatin network gel.
• Microstructure analysis (SEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FT-IR) to characterize the composite and healing process.

Main Results:

• The artificial skin composite demonstrated effective self-healing capabilities.
• The healing agent diffused through fiber cavities upon damage, chemically reacting with the matrix.
• An impressive self-healing efficiency of 97.0% was achieved at 45 °C.

Conclusions:

• The developed biomimetic artificial skin composite shows significant promise for self-repair in AI robots.
• The material's self-healing mechanism relies on controlled release and chemical reaction of the healing agent.
• Optimizing temperature enhances the self-healing efficiency, paving the way for more robust robotic applications.