Infrared Identification and Detection of Internal Water Defects in Navigable Aircraft Composite Materials

Composite materials are widely used in many parts of navigable aircraft. The defects of composite materials will seriously affect flight safety. In this paper, it is proved by simulation that the minimum diameter of defect detection accuracy is 8 mm when the correlation coefficient is 5. Based on this, an accurate detection method for internal waterlogging defects of aircraft composites based on infrared thermography detection was designed to realize the identification and location of waterlogging defects of aircraft composite structures, including defect type, size and accurate depth. The data collected by infrared detection system is recognized by YOLOv5 neural network. The test results show that the confidence of water point defect is greater than 0.9, and the detection depth is about 1mm. This study will expand the use cases of infrared nondestructive testing technology at home and abroad, and help to solve the problem of composite defect location detection for navigable aircraft.