Autonomous Damage Detection in Multilayered Coatings via Integrated Aggregation-Induced Emission Luminogens

Area of Science:

• Materials Science
• Polymer Chemistry
• Nanotechnology

Background:

• Early detection of small-scale damage in polymers is crucial for extending material lifespan and preventing structural failure.
• Existing self-reporting coatings offer visual damage indication but lack depth-penetration information.
• Developing advanced damage assessment techniques is vital for cost-efficiency and safety in polymeric applications.

Purpose of the Study:

• To develop a novel strategy for autonomous indication of damage depth in multilayered polymeric materials.
• To utilize aggregation-induced emission luminogens (AIEgens) for multi-depth damage visualization.
• To create a versatile damage detection system for various polymeric coatings.

Main Methods:

• Encapsulation and layering of three distinct aggregation-induced emission luminogens (AIEgens) into polymeric coatings.
• Inducing scratches of varying depths to simulate material damage.
• Observing changes in fluorescent colors emitted by activated AIEgens to correlate with scratch depth.

Main Results:

• Successful demonstration of a multilayered coating system capable of indicating damage depth.
• Different combinations of AIEgens activate at specific scratch depths, producing distinct fluorescent colors.
• The system provides a visual, autonomous method for assessing the extent of damage penetration.

Conclusions:

• The developed AIEgen-based system offers a powerful tool for autonomous damage indication in polymeric materials.
• This technology enables precise visual detection of crack penetration depth, surpassing previous single-layer limitations.
• The findings contribute to improved material lifetime, structural integrity, and cost-effectiveness in polymer applications.