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June 1, 2026npj Computational Materials0 citationsOpen Access

Subsurface polycrystalline microstructure reconstruction via immersion ultrasound full waveform inversion

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YXYongwei XieSFShuguang FanJHJiaze He

Key Points

  • The central aim is to develop a non-destructive method for reconstructing subsurface microstructures in polycrystalline metallic alloys.
  • Introduced a water-immersion ultrasound full waveform inversion framework for microstructure mapping.
  • Utilized spectral-element wavefield simulations combined with adjoint-based inversion techniques.
  • Performed benchmark tests on Ti-6Al-4V alloy models.
  • Achieved accurate imaging of grain orientations and distributions of anisotropic elastic coefficients.
  • Provided high-resolution reconstructions that surpassed direct-contact ultrasound methods in accuracy.
  • Confirmed robustness with applications to equiaxed polycrystals and microtextured regions.

Abstract

Microstructural mapping of polycrystalline metallic alloys is essential for predicting their macroscopic mechanical performance. Among existing techniques, non-destructive subsurface imaging offers a promising but technically challenging pathway for advancing the characterization of metallic materials. This study introduces a water-immersion ultrasound full waveform inversion (FWI) framework for nondestructive reconstruction of subsurface polycrystalline microstructure. By integrating spectral-element wavefield simulations with adjoint-based inversion, this method simultaneously recovers anisotropic elastic coefficients and crystal orientations. Benchmark tests on Ti-6Al-4V alloy models demonstrate that the proposed method accurately images grain orientations and anisotropic elastic coefficient distributions. It achieves high-resolution reconstructions of polycrystalline microstructures and outperforms direct-contact ultrasound methods in accuracy and artifact suppression. Further applications to equiaxed polycrystals and microtextured regions verify the robustness and applicability of the approach.

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Cite This Study

Xie et al. (2026) studied this question.

synapsesocial.com/papers/6a1d216202fbce9130637649https://doi.org/10.1038/s41524-026-02150-6
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