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A multiscale indentation-based technique to correlate acoustic emission with deformation mechanisms in complex alloys

journal contribution
posted on 24.11.2021, 22:48 by Junaid Ahmed, Tonghao Zhang, Didem Ozevin, Matthew DalyMatthew Daly
Conventional methodologies to link damage evolution with the activation of deformation mechanisms typically require destructive testing and post-mortem analysis. More recently, mechanical testing combined with acoustic emission analysis has provided a method to fingerprint multiple active deformation mechanisms. However, correlating different acoustic emission signals with active deformation sources remains a non-trivial task due to the simultaneous activation of sources during mechanical testing. Here, we demonstrate a multiscale indentation-based technique to isolate dislocation and martensitic transformation sources in the acoustic emission data of a complex alloy. For this purpose, the acoustic emission signals from macro- and microindentation experiments are compared with microscopy and crystallographic analysis of deformed microstructures. A key feature of this method is the selective activation of the martensitic transformation during microindentation, which enables separate fingerprinting of this deformation mechanism. An unsupervised k mean clustering methodology is leveraged to classify acoustic emission waveforms into clusters, which facilitates the detection of shared deformation mechanisms across different tests. The results of this study provide a rapid non-destructive tool to correlate acoustic emission sources with deformation mechanisms in complex alloys.

History

Citation

Ahmed, J., Zhang, T., Ozevin, D.Daly, M. (2021). A multiscale indentation-based technique to correlate acoustic emission with deformation mechanisms in complex alloys. Materials Characterization, 111575-. https://doi.org/10.1016/j.matchar.2021.111575

Publisher

Elsevier BV

Language

en

issn

1044-5803