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Subsurface polycrystalline reconstruction based on full waveform inversion- A 2D numerical study

delete2022-08-01
delete9
PRE
AI
J
Jiaze He *
D
Dmitry Borisov
J
Jacob D. Fleming
M
Matthew Kasemer *
DOI:10.1016/j.mtla.2022.101482delete
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Abstract

Abstract

En 中文
Microstructural mapping of polycrystalline metallic alloys is a key component in predicting macroscopic material behavior, and non-destructive subsurface polycrystalline imaging is a valuable yet challenging field that offers promise for metallic material characterization. This paper proposes a computational ultrasonic imaging method for high-resolution, subsurface polycrystalline reconstruction using signals measured on a sample's boundary and a full waveform inversion technique. For this 2D numerical study, the anisotropic elastic coefficient parameteriza-tion is introduced and connected to the corresponding polycrystalline orientation. The forward wave propagation simulation is performed using a spectral finite element method. An inversion framework is developed for inverting the anisotropic elastic coefficients, and the crystalline orientations. Reconstruction performance benchmarking is systematically conducted for both rectangular regions and a representative polycrystal. Overall, the recon-structions have broad correspondence to the scanned, unknown models. We further discuss artifact mitigation strategies and the potential to extend this work.
Keywords:
Polycrystalreconstruction
Microstructuralimaging
Non-destructive
Ultrasoundimaging
Fullwaveforminversion
Anisotropyimaging

Journal

Materialia cover
Materialia
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2.9
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University of Alabama System
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university of alabama tuscaloosa
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