Half-wave height four-neighborhood defect quantification algorithmbased on CFRP ultrasonic detection

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (19) : 319-325.

WANG Haijun1, WANG Tao2, YU Cijun2

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Abstract

The accurate area quantification of composite defects is an important part of automatic defect identification and analysis, which has a guiding role in the study of composite manufacturing process performance. In this study, based on the ultrasonic phased array nondestructive testing data of CFRP, the results of the defect area quantification were analyzed and compared by the iterative threshold method and the Otsu method, and a four-neighborhood defect quantification algorithm was proposed by combining the ultrasonic A-scan signal and the C-scan image, which located the ultrasonic signal of the connected defect area, and took half of the amplitude at the maximum amplitude of the largest amplitude as the critical judgment to expand the four-neighborhood defect boundary search and determine the defect boundary. Compared with the image segmentation method, the accuracy is greatly improved, and for small defects, the deviation between the quantized defect area and the actual defect area is 13.2%, and the quantization deviation of the remaining defect area is less than 2%.

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composites / defect quantification / image segmentation / half-wave height method

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WANG Haijun1, WANG Tao2, YU Cijun2. Half-wave height four-neighborhood defect quantification algorithmbased on CFRP ultrasonic detection[J]. Journal of Vibration and Shock, 2024, 43(19): 319-325

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