Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography

Oddershede, Jette; Bachmann, Florian; Sun, Jun; Lauridsen, E.M.

doi:10.1007/s40192-021-00249-w

Cited by 16 publications

(5 citation statements)

References 32 publications

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“…To cover a sample ROI that is also wider than the aperture FOV, the helical phyllotaxis motion can be coupled with a horizontal translation, either in a HP-Raster scan where the number of horizontal steps is equal for each projection angle, or in an adaptive manner for high aspect ratio tomography of plate-like samples using the HP-HART scan. For more details please refer to [7].…”

Section: Data Acquisitionmentioning

confidence: 99%

“…The recent v3.0 takes lab-based DCT to the next level of throughput, versatility and representative volume mapping. This is done by introducing advanced scanning schemes [7], enabling seamless data acquisition and reconstruction of larger, irregularly-shaped sample volumes like dogbones and plate geometries, and by the release of CrystalCT TM , a dedicated microCT system for 3D grain mapping. The current GrainMapper3D v3.1 implementation features a major enhancement in the reconstruction algorithm and the introduction of reconstruction boosting.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Recent advances of lab-based diffraction contrast tomography – reconstruction speed benchmark testing and validations

Sun

Bachmann²,

Oddershede³

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Lab-based diffraction contrast tomography (DCT) enables the user to reconstruct 3D grain maps of polycrystalline materials non-destructively. For each grain, the morphology and crystallographic orientation, as well as derived properties such as grain boundaries, can be determined. Through two application examples this paper demonstrates the data acquisition and reconstruction speed of the current implementation and validates the resulting grain maps. Firstly, for a conventional Laue focusing scan of an AlCu sample comprising 340 grains, major performance enhancements of the reconstruction algorithm have reduced the reconstruction time from half a day to half an hour. The second example highlights an advanced scan with projection geometry of an oriented electrical steel sheet containing 7,800 grains. While the data collection time is around a day for each of the data sets, the boosted reconstruction of the advanced acquisition data takes half a day and gives the full grain map without the need for stitching. After the major algorithm speed enhancements, grain map qualities are comparable with misorientations below 0.02° and grain boundary distances less than a voxel for both samples.

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Section: Data Acquisitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recent advances of lab-based diffraction contrast tomography – reconstruction speed benchmark testing and validations

Sun

Bachmann²,

Oddershede³

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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show abstract

“…On the other hand, using mechanical constraints, it was found that strain reconstructions could be achieved from single axis rotation data (Henningsson & Hendriks, 2021). On another note, recent advances in acquisition strategies for laboratory-based DCT (Oddershede et al, 2022) suggest that more complex scan geometries could be used to improve sampling in 3DXRD experiments. From a practical point of view, considering scanning 3DXRD, the typical wall times to measure a single sample volume are often in the range of hours or even days [e.g.…”

Section: Introductionmentioning

confidence: 99%

xrd_simulator: 3D X-ray diffraction simulation software supporting 3D polycrystalline microstructure morphology descriptions

Hall¹

2023

J Appl Cryst

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An open source Python package named xrd_simulator, capable of simulating geometrical interactions between a monochromatic X-ray beam and a polycrystalline microstructure, is described and demonstrated. The software can simulate arbitrary intragranular lattice variations of single crystals embedded within a multiphase 3D aggregate by making use of a tetrahedral mesh representation where each element holds an independent lattice. By approximating the X-ray beam as an arbitrary convex polyhedral region in space and letting the sample be moved continuously through arbitrary rigid motions, data from standard and non-standard measurement sequences can be simulated. This implementation is made possible through analytical solutions to a modified, time-dependent version of the Laue equations. The software, which primarily targets three-dimensional X-ray diffraction microscopy (high-energy X-ray diffraction microscopy) type experiments, enables the numerical exploration of which sample quantities can and cannot be reconstructed for a given acquisition scheme. Similarly, xrd_simulator targets investigations of different measurement sequences in relation to optimizing both experimental run times and sampling.

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“…Zeiss Xradia 520 Versa) or a magnified geometry with a flat panel [e.g. Zeiss Xradia CrystalCT (Bachmann et al, 2019;Oddershede et al, 2022)]. The commercial software GrainMapper3D developed by XnovoTech and based on forward projection (Bachmann et al, 2019) offers an easy-to-use and robust method for grain reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Implementation of grain mapping by diffraction contrast tomography on a conventional laboratory tomography setup with various detectors

Fang¹,

Ludwig²,

Lhuissier³

2023

J Appl Cryst

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Laboratory-based diffraction contrast tomography (LabDCT) is a novel technique used to resolve grain orientations and shapes in three dimensions at the micrometre scale using laboratory X-ray sources, allowing the user to overcome the constraint of limited access to synchrotron facilities. To foster the development of this technique, the implementation of LabDCT is illustrated in detail using a conventional laboratory-based X-ray tomography setup, and it is shown that such implementation is possible with the two most common types of detectors: CCD and flat panel. As a benchmark, LabDCT projections were acquired on an AlCu alloy sample using the two types of detectors at different exposure times. Grain maps were subsequently reconstructed using the open-source grain reconstruction method reported in the authors' previous work. To characterize the detection limit and the spatial resolution for the current implementation, the reconstructed LabDCT grain maps were compared with the map obtained from a synchrotron measurement, which is considered as ground truth. The results show that the final grain maps from measurements by the CCD and flat panel detector are similar and show comparable quality, while the CCD gives a much better contrast-to-noise ratio than the flat panel. The analysis of the grain maps reconstructed from measurements with different exposure times suggests that a grain map of comparable quality could be obtained in less than 1 h total acquisition time without a significant loss of grain reconstruction quality and indicates a clear potential for time-lapse LabDCT experiments. The current implementation is suggested to promote the generic use of the LabDCT technique for grain mapping on conventional tomography setups.

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Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography

Cited by 16 publications

References 32 publications

Recent advances of lab-based diffraction contrast tomography – reconstruction speed benchmark testing and validations

Recent advances of lab-based diffraction contrast tomography – reconstruction speed benchmark testing and validations

xrd_simulator: 3D X-ray diffraction simulation software supporting 3D polycrystalline microstructure morphology descriptions

Implementation of grain mapping by diffraction contrast tomography on a conventional laboratory tomography setup with various detectors

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