Intelligent System for Self-Healing Composite Materials

The Problem:

Aerospace vehicles endure significant stress resulting from foreign object impacts, thermo-mechanical fatigue, and environmental wear, leading to potential damage such as cracks or the separation of outer layers. Although self-healing systems are available for aerospace vehicles, they require unique sensors and diagnostic systems to monitor and address operational issues. A major challenge is that these existing self-healing systems degrade rapidly after only one or two cycles, posing a significant concern for aerospace vehicles aiming to optimize functionality and capability while controlling weight and expenses.

The Solution:

Researchers at the University of Alabama have developed a self-monitoring, self-diagnosing, and self-healing system that detects, diagnoses, and initiates composite structure repairs in-situ using a single, multi-functional network of sensors. The sensor network works in conjunction with the outer layer of healant-infused composite materials which can melt and heal cracks. The technology is capable of working beyond the normal self-healing cycles and is designed to weigh less than current systems, maximizing its cost efficiency.

Benefits:

•Increased safety and reliability by reducing risk of structural failures, ensuring operational continuity, and minimizing downtime
•Ensures vehicle can continue to operate in flight conditions, reducing risk of mission failure due to damage
•Minimizes exposure of personnel to risks and reduces need for extensive and costly repair operations
•Durability of composite material reduces maintenance and replacement costs and proactively detects and autonomously repairs damage using machine learning
Publications:
Patent Information: