Ultrasonic Full-Matrix Imaging of Defects in Curved-Shape Components Based on Frequency-Domain Elastic Reverse Time Migration

25 Pages Posted: 3 Feb 2025

See all articles by Kaipeng Ji

Kaipeng Ji

Zhejiang University

Peng Zhao

Zhejiang University - State Key Laboratory of Fluid Power and Mechatronic Systems

Hao Chen

Zhejiang University

Chengfeng Pan

Zhejiang University

Jun Xie

Zhejiang University of Technology

Jianzhong Fu

Zhejiang University

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Abstract

Ultrasonic phased array has been widely used for detection and characterization of defects inside components. However, it remains challenging to inspect the the curved-shape components with high accuracy. In this paper, frequency-domain elastic reverse time migration (FD-ERTM) is proposed to realize high precision imaging of the defects in the curved-shape components. The elastic wave equation is discretized in the frequency domain, where the source and received wavefields of all excitations are reconstructed simultaneously at each frequency. The Holmholtz-decomposition imaging condition is implemented to the wavefields to retrieve the defects with high precision. Simulation and experiments have demonstrated the advantages of the proposed method in terms of imaging accuracy and resolution. Compared with the total focusing method, the imaging accuracy improves 2-36 times due to the full coverage of waveforms and precise modelling of the mode conversions. In addition, the time cost of the proposed method is reduced to 1/14 of that of the conventional ERTM for lower requirement on the computational complexity and memory. Therefore, the proposed method has great potential in defect detection for curved-shape components.

Keywords: Full matrix imaging, curved-shaped component, frequency-domain elastic reverse time migration, phased array, ultrasonics

Suggested Citation

Ji, Kaipeng and Zhao, Peng and Chen, Hao and Pan, Chengfeng and Xie, Jun and Fu, Jianzhong, Ultrasonic Full-Matrix Imaging of Defects in Curved-Shape Components Based on Frequency-Domain Elastic Reverse Time Migration. Available at SSRN: https://ssrn.com/abstract=5122911 or http://dx.doi.org/10.2139/ssrn.5122911

Kaipeng Ji

Zhejiang University ( email )

38 Zheda Road
Hangzhou, 310058
China

Peng Zhao (Contact Author)

Zhejiang University - State Key Laboratory of Fluid Power and Mechatronic Systems ( email )

38 Zheda Road
Hangzhou, Zhejiang 310058
China

Hao Chen

Zhejiang University ( email )

38 Zheda Road
Hangzhou, 310058
China

Chengfeng Pan

Zhejiang University ( email )

38 Zheda Road
Hangzhou, 310058
China

Jun Xie

Zhejiang University of Technology ( email )

China

Jianzhong Fu

Zhejiang University ( email )

38 Zheda Road
Hangzhou, 310058
China

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