This work was supported by the Natural Science Foundation of Hunan Province (Grant No. 2020JJ2028), the Scientific Research Fund of Hunan Provincial Education Department (Grant No. 18A142) and Changsha City Planned Science and Technology Project (Grant No. kq1907090).
机构署名：
本校为第一且通讯机构
院系归属：
汽车与机械工程学院
摘要：
Efficient and accurate nondestructive testing of surface or sub-surface flaws is essential for metal components. This study focuses on the high-quality image reconstruction of these flaws. An imaging detection method is introduced which combines the leaky Rayleigh waves testing and the synthetic aperture focusing technique (SAFT) with an immersion pulse-echo scanning. The principal component analysis (PCA) is used to reduce the noise of the leaky Rayleigh waves, and then the imaging is obtained using the SAFT algorithm. The experimental results...
