Impact Damage Detection of Carbon Fiber Reinforced Plastic Based on Image Fusion
Damage detection has been a major focus of attention during the production and use of carbon fiber rein-forced plastic.Lock-in thermography and ultrasonic C-scan are two commonly used detection methods,but each has its own limitations.Ultrasonic C-scan is suitable for the detection of deep damage within the material and is not sen-sitive to shallow damage information,while lock-in thermography is suitable for the detection of shallow damage in-formation,which is difficult to reflect the deep damage of the material.To address this problem,this paper proposes an image fusion algorithm based on non-subsampled shear wave transform combined with pulse-coupled neural net-work to fuse lock-in thermography and ultrasonic C-scan images.The results show that the fused image can signifi-cantly improve the clarity and perceptual quality of the image,and reduce the error of damage area from 39.1％to 23.8％.
万方数据
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