Abstract

This study presents a method of ultrasonic flaw identification using phased-array data. Raw data of each individual channel of the phased array are stored in a two-dimensional matrix. The data trimming and de-noising are used to exclude data out of the boundary of the inspection object and remove the speckle type of noise components from the raw data. The resulting data are passed into a sequence of signal processing operations to identify embedded flaws. A shape-based filtering is used to reduce the intensity of geometric noise components due to the non-uniform microstructures introduced in the manufacturing process. Two such filters are applied to remove the horizontal and vertical noise bands, and the two resulting data matrices are combined to determine the intensity matrix of the potential flaw regions. A connected component analysis is employed to form pixel groups of the potential flaws. A dimensional thresholding is used to remove unrealistic potential flaws. The overall method is demonstrated and validated using realistic phased array experimental data.

How to Cite:

Zhang, W. ., Wang , X. . & Guan, X. ., (2019) “Ultrasonic flaw recognition by multi-angle phased array data integration”, Review of Progress in Quantitative Nondestructive Evaluation .