Characterization of acoustic emission signals under 3-point bending test
Peer reviewed, Journal article
Published version
Permanent lenke
https://hdl.handle.net/11250/3053050Utgivelsesdato
2021Metadata
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Originalversjon
Nguyen, N. B. G., Lemu, H. G., Gabrielsen, O., & El-Thalji, I. (2021). Characterization of acoustic emission signals under 3-point bending test. In IOP Conference Series: Materials Science and Engineering (Vol. 1201, No. 1, p. 012034). IOP Publishing. 10.1088/1757-899X/1201/1/012034Sammendrag
This paper summarizes a master’s thesis project which explored whether the characteristics of Acoustic Emission Testing (AET) signals can be used to detect yielding in steel samples undergoing a three-point bending test. A subset of existing data from a three-point bending test was exported and used as input. Data was processed by utilizing and developing tools to visualize and analyse the signal characteristics, primarily through a parameter-based approach. Signals were visualized, and parameters were optimized to identify and classify signal types. According to the obtained results, some limitations on classification were experienced due to the length of the hit data recorded. Though the work reported in this article lead to a reliable method for detecting yielding, the developed algorithms were not successful in identifying characteristics that could be used to detect yielding.