A Multi-modal Data Merging Framework for Correlative Investigation of Strain Localization in Three Dimensions

Charpagne, Marie-Agathe; Stinville, J.C.; Polonsky, Andrew; Echlin, McLean P.; Pollock, Tresa M.

doi:10.1007/s11837-021-04894-6

Cited by 14 publications

(5 citation statements)

References 55 publications

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“…en backfill and compact the soil in the soil drill according to the original state, and mark the injection position with a marker post. e 15 N marking method of the other two treatment microareas is the same except that the drilling depth is 45 and 75 cm of the soil layer, respectively [23].…”

Section: Markingmentioning

confidence: 99%

Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information

Fan

Wang

Zhang

et al. 2022

Journal of Chemistry

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To study nitrogen transport monitoring in pear trees based on ground-based hyperspectral remote sensing and digital image information. First, based on ground hyperspectral remote sensing and digital image information, combined with the characteristics of visible and near-infrared spectral data and digital image data, a beet nitrogen nutrition diagnosis model based on visible and near-infrared spectral and digital image information was established. The results showed that under water and nitrogen management conditions, the marked nitrogen use efficiency at soil profiles 15, 45, and 75 cm was 28.2%, 22.3%, and 16.3%, respectively. From the analysis of soil and plant nitrogen measured in this experiment, it can be seen that nitrogen nitrate fertilizer should be properly applied to pear trees in the future.

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Section: Markingmentioning

confidence: 99%

Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information

Fan

Wang

Zhang

et al. 2022

Journal of Chemistry

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“…To verify the robustness of the SR-EBSD approach across different materials datasets, the holistic attention network (HAN), which showed consistently strong performance, was trained on two additional experimental datasets of Ti-7Al 32 , which were plastically deformed to 1% and 3% strain respectively, and are discussed in section "Data preprocessing". These two datasets contain much larger grains than the Ti-6Al-4V set, and also exhibit texture due to material processing.…”

Section: Additional Materials Systemsmentioning

confidence: 99%

“…Shown in IPF coloring of the titanium alloys, a Ti-6Al-4V and b Ti-7Al mechanically loaded in tension to 1% strain and c 3%, used for network training, testing and validation. Dataset details are available elsewhere 31,32 .…”

Section: Network Implementation and Output Evaluationmentioning

confidence: 99%

Adaptable physics-based super-resolution for electron backscatter diffraction maps

et al. 2022

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In computer vision, single-image super-resolution (SISR) has been extensively explored using convolutional neural networks (CNNs) on optical images, but images outside this domain, such as those from scientific experiments, are not well investigated. Experimental data is often gathered using non-optical methods, which alters the metrics for image quality. One such example is electron backscatter diffraction (EBSD), a materials characterization technique that maps crystal arrangement in solid materials, which provides insight into processing, structure, and property relationships. We present a broadly adaptable approach for applying state-of-art SISR networks to generate super-resolved EBSD orientation maps. This approach includes quaternion-based orientation recognition, loss functions that consider rotational effects and crystallographic symmetry, and an inference pipeline to convert network output into established visualization formats for EBSD maps. The ability to generate physically accurate, high-resolution EBSD maps with super-resolution enables high-throughput characterization and broadens the capture capabilities for three-dimensional experimental EBSD datasets.

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“…Moreover, modalities are often acquired independently which further hinders analysis. Note that efforts in the scanning electron microscope (SEM) community, also driven by equipment manufacturers, have led to successful correlative experiments using microstructural information in 3D using serial sectioning methods (Burnett et al, 2014;Charpagne et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

In situ synchrotron X-ray multimodal experiment to study polycrystal plasticity

Ribart¹,

King²,

Ludwig³

et al. 2023

J Synchrotron Radiat

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The microstructure of polycrystals is known to govern the performance of structural materials. This drives the need for mechanical characterization methods capable of probing large representative volumes at the grain and sub-grain scales. In this paper, the use of in situ diffraction contrast tomography (DCT) along with far-field 3D X-ray diffraction (ff-3DXRD) at the Psiché beamline of Soleil is presented and applied to study crystal plasticity in commercially pure titanium. A tensile stress rig was modified to comply with the DCT acquisition geometry and used for in situ testing. DCT and ff-3DXRD measurements were carried out during a tensile test of a tomographic Ti specimen up to 1.1% strain. The evolution of the microstructure was analyzed in a central region of interest comprising about 2000 grains. Using the 6DTV algorithm, DCT reconstructions were successfully obtained and allowed the characterization of the evolution of lattice rotation in the entire microstructure. The results are backed up by comparisons with EBSD and DCT maps acquired at ESRF-ID11 that allowed the validation of the orientation field measurements in the bulk. Difficulties at the grain boundaries are highlighted and discussed in line with increasing plastic strain during the tensile test. Finally, a new outlook is provided on the potential of ff-3DXRD to enrich the present dataset with access to average lattice elastic strain data per grain, on the possibility of performing crystal plasticity simulations from DCT reconstructions, and ultimately on comparisons between experiments and simulations at the scale of the grain.

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A Multi-modal Data Merging Framework for Correlative Investigation of Strain Localization in Three Dimensions

Cited by 14 publications

References 55 publications

Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information

Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information

Adaptable physics-based super-resolution for electron backscatter diffraction maps

In situ synchrotron X-ray multimodal experiment to study polycrystal plasticity

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