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A surface acoustic wave nondestructive evaluation technique was used to detect the initiation of surface microcracks in highly stressed regions of hourglass shaped 2024-T6 alloy aluminum specimens during fatigue cycling. Contacting wedge transducers were used to excite the incident waves and to detect the reflected wave signals. The effectiveness of a split spectrum processing algorithm to separate specular reflections of isolated cracks from nonspecular reflections of microstructural features in the scattering field was demonstrated.
nondestructive testing, ultrasonic scattering, split spectrum processing, crack initiation detection, automated testing technique, fatigue microcrack initiation, automated crack size measurement, minimum detectable crack size, Rayleigh wave, surface acoustic wave
Assistant professor, University of Nebraska-Lincoln, Lincoln, NE
Associate research engineer, University of Dayton Research Institute, Dayton, OH