一种基于超声波和聚类的复材板冲击损伤层析方法与系统
By using ultrasonic scanning and K-Means clustering algorithm to process images of composite panels, the problem of damage localization and characterization of composite panels was solved, and efficient and low-cost damage area assessment was achieved.
CN117310005BActive Publication Date: 2026-07-17NANJING TECH UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING TECH UNIV
- Filing Date
- 2023-09-25
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies are insufficient for effectively locating and characterizing damage in different layers of composite panels. CT scans are costly and slow, failing to meet the tomographic evaluation requirements of composite panels.
Method used
TOF images of composite laminates are obtained by ultrasonic scanning. K-Means clustering algorithm is used to cluster the images. Combined with actual layup parameters and ultrasonic detection principle, effective cluster images are identified and fused to achieve damage distribution assessment of different layers of composite laminates.
Benefits of technology
It enables the assessment of damage areas in different layers of composite laminates, improving detection efficiency and accuracy while reducing detection costs.
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Abstract
本发明公开了一种基于超声波和聚类的复材板冲击损伤层析方法与系统，涉及复材板超声检测技术和图像后处理领域，方法包括获取冲击后复材板带有颜色栏的TOF图像；根据所述TOF图像利用聚类算法进行聚类，得到簇群分离图像；根据所述簇群分离图像进行区域位置识别，得到有效簇群图像；利用所述有效簇群图像的颜色栏对有效簇群进行融合，得到融合簇群图像；根据所述融合簇群图像和实际铺层参数结合超声波检测原理确定复材板各个铺层的损伤分布情况。本发明能实现对复合材料层合板不同层的损伤区域评估。
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