Laser shock peening quality assurance by ultrasonic analysis

G - Physics – 01 – N

Patent

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Details

G01N 29/06 (2006.01) B23K 26/00 (2006.01) B23K 37/00 (2006.01) G01N 29/44 (2006.01)

Patent

CA 2363408

A method for quality control testing of a laser shock peening process of a production workpiece (108) includes (a) ultrasonically scanning at least a portion of a laser shock peened surface on the workpiece (108) wherein a region having deep compressive residual stresses imparted by the laser shock peening process extends into the workpiece (108) from the laser shock peened surface, (b) digitizing a signal derived from the scanning and forming a digitized image (44) of intensity values from the scanning, (c) calculating at least one statistical function value for a plurality of points of the digitized image (44) of the workpiece (108) based on the intensity values, and (d) comparing the statistical function value to a pass or fail criteria for quality assurance of the laser shock peening process or accepting or rejecting the workpiece (108). In one embodiment, the plurality of points of the digitized image (44) are delineated by a group of virtual circles (80) corresponding to laser shock peened dimples (158) within the portion of the laser shock peened surface. The statistical function comprises at least one of four statistical properties of the digitized image defined by four equations, a Mean Matrix MM(k) for each kth dimple, a Dimple Standard Deviation Matrix SDM(k), a Mean Vector MV(x) of all the points in the group of circles, where x is the number of pixels in each dimple, and a Standard Deviation Vector SDV(x) of each of the group of circles. Three types of the statistical function are a Mean of Dimple Mean Matrix F1, a Mean of Standard Deviation Matrix F2, and a Mean of Standard Deviation Vector F3. In another embodiment, the plurality of points of the digitized image (44) are delineated by a rectangle (84) around the laser shock peened dimples (158) and the statistical function is a Sobel Function F4 including a Sobel operator.

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