A study on correlation-based algorithms for automatic imaging of variable thickness CFRP ultrasonic defects

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (12) : 232-240.

WANG Tao1,DENG Wanxin2,WANG Haijun3,YU Cijun1

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Abstract

A correlation-based automatic imaging algorithm is proposed to address the labor-intensive process of variable thickness CFRP ultrasonic defect imaging. Embedded artificial defects are prepared in the specimens, and ultrasonic phased array detection is used to acquire data. Firstly, based on the theory of discrete sequence correlation, time-shift processing is applied to the ultrasonic A-scan signals of different thickness CFRP specimens to align the baseline. Subsequently, the necessary reference signals are generated from defect-free regions using autocorrelation theory. By analyzing the correlation results and utilizing the Euclidean distance, defect signals are distinguished from non-defect signals, and a color-coded image is generated based on the Euclidean distances. Ultimately, the defect size was statistically measured using an edge detection algorithm based on machine vision and the Hough circle transform. The overall mean error rate was less than 7%, with a maximum error rate of 16.25% and a minimum error rate of 0.25%. The results demonstrate that this algorithm can be extensively applied to the automated ultrasonic testing of variable thickness CFRP.

Key words

Variable thickness composites / Ultrasonic testing / Time-shifting / Autocorrelation

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WANG Tao1, DENG Wanxin2, WANG Haijun3, YU Cijun1. A study on correlation-based algorithms for automatic imaging of variable thickness CFRP ultrasonic defects[J]. Journal of Vibration and Shock, 2024, 43(12): 232-240

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