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Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data

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Abstract

Microtexture regions (MTR) are collections of grains with similar crystallographic orientation; their presence in aerospace components can significantly impact component life. Thus, a method to detect and characterize MTR is needed. A potential solution is to use eddy current testing, which is sensitive to local changes in crystallographic orientation, to determine the size and dominant orientation of MTR. In this work, we introduce a technique that combines a variant of the matching component analysis algorithm with level set inversion in order to characterize MTR using eddy current testing data. The method is applied to simulated eddy current testing data of a real titainum specimen. Using this technique, we are able to successfully determine the boundaries and average orientation of MTR in the specimen.

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The code and data from this work can be made available upon reasonable request.

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Acknowledgements

The authors would like to acknowledge support from the Air Force Office of Scientific Research (AFOSR) through grant 21RXCOR037 under the Dynamic Data and Information Processing (DDIP) program. In addition, Dr. Homa and Dr. Lorenzo would like to acknowledge support from the Air Force Research Laboratory (AFRL) through contract FA8650-19-F-5231.

Funding

This work has been funded through the Air Force Office of Scientific Research (AFOSR) through Grant 21RXCOR037 under the Dynamic Data and Information Processing (DDIP) program. In addition, funding was provided through the Air Force Research Laboratory (AFRL) under Contract FA8650-19-F-5231.

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Authors and Affiliations

  1. Structural Materials Division, University of Dayton Research Institute, 300 College Park, Dayton, OH, 45469, USA

    Laura Homa & Nick Lorenzo

  2. Materials and Manufacturing Directorate, Air Force Research Laboratory, 2977 Hobson Way, Wpafb, OH, 45431, USA

    Matthew Cherry & John Wertz

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  1. Laura Homa
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  2. Nick Lorenzo
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  4. John Wertz
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Contributions

LH wrote the majority of the manuscript text and generated all figures. NL developed the CGMCA algorithm and wrote Sect. 2.2. MC developed the AII model and wrote Sect. 3.1. JW wrote the introduction and contributed background information and references.

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Correspondence to Laura Homa.

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Homa, L., Lorenzo, N., Cherry, M. et al. Microtexture Region Segmentation Using Matching Component Analysis Applied to Eddy Current Testing Data. J Nondestruct Eval 42, 39 (2023). https://doi.org/10.1007/s10921-023-00951-z

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