Nondestructive Damage Evaluation of Composites Based on X-ray and Ultrasonic Image Fusion

Abstract

Abstract Proper utilization of non-destructive testing (NDT) methods is crucial for ensuring the engineering safety of composites. Ultrasonic testing (UT) and X-ray computed tomography (CT) are two commonly used NDT methods for inspecting glass fiber reinforced polymer (GFRP) composites, each with its unique advantages and limitations. In our previous study, we found that UT has lower resolution in detecting delamination and inclusion defects compared to X-ray CT, which has a lower contrast. Both methods also lack the ability for automated quantitative testing. To overcome these limitations, this paper proposes a fusion algorithm that combines data from UT and X-ray CT imaging to detect hidden delamination and inclusion defects in GFRP composites. The proposed fusion method based on significant region enhancement and block fusion combines the strengths of ultrasonic testing (UT) and X-ray computed tomography (CT) to enhance the precision and efficiency of material detection. By further utilizing image segmentation method, defects can be automatically quantified. This method not only aids scholars in characterizing composite materials more comprehensively but also has the potential to facilitate the development and application of novel composite materials. It serves as a valuable supplement to traditional inspection techniques and has the capability to promote the advancement of material science.