The Alignment and Fusion of Multimodal 3D Serial Sectioning Datasets

Nguyen, Lily; Rowenhorst, David J.

doi:10.1007/s11837-021-04865-x

Cited by 6 publications

(1 citation statement)

References 47 publications

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“…Since the end goal of image registration here is data fusion, maximizing the similarity between the reference and sensed images leads to a more correct multimodal dataset. This reasoning was used by Nguyen and Rowenhorst [35] in image registration and data fusion of pores from BSE images with EBSD data in an additive manufactured steel sample, when a control point-free transformation function was found iteratively by optimizing the similarity of binary maps of pores detected in the BSE images and EBSD maps. By assuming that the BSE image and EBSD intensity map in Fig.…”

Section: Evaluation Of the Multimodal Data Fusion Workflowmentioning

confidence: 99%

Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging

Ånes¹,

Helvoort²,

Marthinsen³

2022

Preprint

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Correlated analysis of (sub)grains and particles in alloys is important to understand transformation processes and control material properties. A multimodal data fusion workflow directly combining subgrain data from electron backscatter diffraction (EBSD) and particle data from backscatter electron (BSE) images in the scanning electron microscope is presented. The BSE images provide detection of particles smaller than the applied step size of EBSD down to 0.03 µm in diameter. The workflow is demonstrated on a cold-rolled and recovered Al-Mn alloy, where constituent particles formed during casting and dispersoids formed during subsequent heating affect recovery and recrystallization upon annealing. The multimodal dataset enables statistical analysis including subgrains surrounding constituent particles and dispersoids' location with respect to subgrain boundaries. Among the subgrains of recrystallization texture, Cube{001} 100 subgrains experience an increased Smith-Zener drag from dispersoids on their boundaries compared to CubeND{001} 310 and P{011} 56 6 subgrains, with the latter experiencing the lowest drag. Subgrains at constituent particles are observed to have a growth advantage due to a lower dislocation density and higher boundary misorientation angle. The dispersoid size per subgrain boundary length increases as a function of misorientation angle. The workflow should be applicable to other alloy systems where there is a need for analysis correlating grains and grain boundaries with secondary phases smaller than the applied EBSD step size but resolvable by BSE imaging.

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Section: Evaluation Of the Multimodal Data Fusion Workflowmentioning

confidence: 99%

Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging

Ånes¹,

Helvoort²,

Marthinsen³

2022

Preprint

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show abstract

3D Reconstruction of a High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning with High-Precision EBSD and Surface Profilometry

Sparks,

Mason,

Chapman

et al. 2024

Integr Mater Manuf Innov

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High-energy diffraction microscopy (HEDM) combined with in situ mechanical testing is a powerful nondestructive technique for tracking the evolving microstructure within polycrystalline materials during deformation. This technique relies on a sophisticated analysis of X-ray diffraction patterns to produce a three-dimensional reconstruction of grains and other microstructural features within the interrogated volume. However, it is known that HEDM can fail to identify certain microstructural features, particularly smaller grains or twinned regions. Characterization of the identical sample volume using high-resolution surface-specific techniques, particularly electron backscatter diffraction (EBSD), can not only provide additional microstructure information about the interrogated volume but also highlight opportunities for improvement of the HEDM reconstruction algorithms. In this study, a sample fabricated from undeformed “low solvus, high refractory” nickel-based superalloy was scanned using HEDM. The volume interrogated by HEDM was then carefully characterized using a combination of surface-specific techniques, including epi-illumination optical microscopy, zero-tilt secondary and backscattered electron imaging, scanning white light interferometry, and high-precision EBSD. Custom data fusion protocols were developed to integrate and align the microstructure maps captured by these surface-specific techniques and HEDM. The raw and processed data from HEDM and serial sectioning have been made available via the Materials Data Facility (MDF) at https://doi.org/10.18126/4y0p-v604 for further investigation.

show abstract

Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging

Ånes

Helvoort

Marthinsen

2022

Materials Characterization

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The Alignment and Fusion of Multimodal 3D Serial Sectioning Datasets

Cited by 6 publications

References 47 publications

Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging

Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging

3D Reconstruction of a High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning with High-Precision EBSD and Surface Profilometry

Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging

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