Research on CFRP Defects Recognition and Localization Based on Metamaterial Sensors

The wide application of carbon-fiber-reinforced polymer(CFRP) has brought with it an urgent demand for their reliability and stability. However, considering factors such as the manufacturing process, material characteristics, and use environment, defects may exist in composite materials, posing a threat to engineering safety. Metamaterial sensors are widely used in non-destructive testing of microwave sensors due to their high resolution and high sensitivity. This paper proposes a defect identification and location method based on principal component analysis and support vector machine. The trained model is used to classify the dimensionally reduced data, and the reconstructed defect binary image is obtained. Simulation and physical experiment results show that the method used in this article can effectively identify and locate defects in carbon fiber composite materials.