![]() ![]() The identified clusters are then compared to both mechanical and in situ observed microstructural damage. ![]() Specifically, a signal processing method is designed to cluster AE activity based on the selection of a subset of features objectively identified by examining their correlation and variance. This article uses a combination of in situ experiments inside the scanning electron microscope to observe fracture in an aluminum alloy at the time and scale it occurs and a novel AE signal processing framework to identify characteristics that correlate with fracture events. Moreover, the recorded AE activity is affected by several noise sources which further complicate the identification process. The direct connection between AE events and their source, however, is difficult because of material, geometry and sensor contributions to the recorded signals. ![]() Acoustic emission (AE) is a common nondestructive evaluation tool that has been used to monitor fracture in materials and structures. ![]()
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January 2023
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