Kinetics of cellular transformation and competing precipitation mechanisms during sub-eutectoid annealing of U10Mo alloys

Jana, Saumyadeep; Devaraj, Arun; Kovařík, Libor; Arey, Bruce W.; Sweet, Lucas E.; Varga, Tamás; Lavender, Curt A.; Joshi, Vineet V.

doi:10.1016/j.jallcom.2017.06.292

Cited by 33 publications

(21 citation statements)

References 34 publications

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“…The LEU-10Mo alloy was subjected to subsequent thermomechanical processing treatments (hot and cold rolling) to form the final fuel foil. Additional sample fabrication details are reported elsewhere 44,45 .…”

Section: Methodsmentioning

confidence: 99%

Nanoscale Spatially Resolved Mapping of Uranium Enrichment

Kautz

Burkes

Joshi

et al. 2019

Sci Rep

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Spatially resolved analysis of uranium (U) isotopes in small volumes of actinide-bearing materials is critical for a variety of technical disciplines, including earth and planetary sciences, environmental monitoring, bioremediation, and the nuclear fuel cycle. However, achieving subnanometer-scale spatial resolution for such isotopic analysis is currently a challenge. By using atom probe tomography—a three-dimensional nanoscale characterisation technique—we demonstrate unprecedented nanoscale mapping of U isotopic enrichment with high sensitivity across various microstructural interfaces within small volumes (~100 nm 3 ) of depleted and low-enriched U alloyed with 10 wt% molybdenum that has different nominal enrichments of 0.20 and 19.75% 235 U, respectively. We map enrichment in various morphologies of a U carbide phase, the adjacent γ-UMo matrix, and across interfaces (e.g., carbide/matrix, grain boundary). Results indicate the U carbides were formed during casting, rather than retained from either highly enriched or depleted U feedstock materials. The approach presented here can be applied to study nanoscale variations of isotopic abundances in the broad class of actinide-bearing materials, providing unique insights into their origins and thermomechanical processing routes.

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Section: Methodsmentioning

confidence: 99%

Nanoscale Spatially Resolved Mapping of Uranium Enrichment

Kautz

Burkes

Joshi

et al. 2019

Sci Rep

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“…According to the phase diagram [23], the phase of the U-10Mo is a single phase of γ around 550 • C and higher, while the coexisting α-U phase appears below 550 • C if kept for a sufficient time at the temperature. For example, the tip of the nose of the TTT curve for U-10Mo [1,24] is at 490 • C and 5 h, where the decomposition of γ phase starts.…”

Section: U-10mo Preparationmentioning

confidence: 99%

Texture Evolution in U-10Mo Nuclear Fuel Foils during Plasma Spray Coating with Zr

Takajo

Hollis

Cummins

et al. 2018

QuBS

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A uranium-molybdenum alloy clad in 6061 aluminum has the potential to lead to a wide application of low-enriched uranium fuels, replacing highly enriched uranium for research reactors. A Zr coating acts as a diffusion barrier between the fuel and the aluminum cladding. In this study, U-10Mo (mass %) was coated with Zr using a plasma spray technique recognized as a fast and economical coating method. Neutron time-of-flight diffraction was used to study the microstructure evolution by quantifying the phase fractions of involved phases as well as the texture evolution of U-10Mo and Zr during plasma spray coating with Zr. Quantitative texture analysis revealed that the texture was drastically changed for high coating temperatures, likely due to selective grain growth. Furthermore, the Zr coating showed a preferential orientation, which could be correlated with the initial texture of the uncoated U-10Mo. This could be explained by the epitaxial growth of the Zr on the U-10Mo substrate.

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“…One particularly important aspect of on-going U-10Mo microstructure characterization efforts is understanding the mechanisms and kinetics of phase transformations observed during temperatures typical of hot isostatic pressing (HIP). Prior work has reported a phase transformation of the U-10Mo matrix during annealing treatments in the temperature range expected for HIP (approximately 450-525°C) [15,5]. The phase transformation pathway has been detailed in our prior work, and involves both discontinuous and continuous precipitation reaction types, as follows [5]:…”

Section: Introductionmentioning

confidence: 97%

“…However, the U-10Mo monolithic fuel system requires several thermo-mechanical processing steps in order to create the final fuel form. Microstructure generated as a function of fuel processing must therefore be well-characterized in order to develop microstructure-processing-property re-lationships necessary for nuclear fuel qualification [15,16]. One particularly important aspect of on-going U-10Mo microstructure characterization efforts is understanding the mechanisms and kinetics of phase transformations observed during temperatures typical of hot isostatic pressing (HIP).…”

Section: Introductionmentioning

confidence: 99%

An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction

Kautz¹,

Ma²,

Jana³

et al. 2019

Preprint

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Micrograph quantification is an essential component of several materials science studies. Machine learning methods, in particular convolutional neural networks, have previously demonstrated performance in image recognition tasks across several disciplines (e.g. materials science, medical imaging, facial recognition). Here, we apply these well-established methods to develop an approach to microstructure quantification for kinetic modeling of a discontinuous precipitation reaction in a case study on the uranium-molybdenum system. Prediction of material processing history based on image data (classification), calculation of area fraction of phases present in the micrographs (segmentation), and kinetic modeling from segmentation results were performed. Results indicate that convolutional neural networks represent microstructure image data well, and segmentation using the k-means clustering algorithm yields results that agree well with manually annotated images. Classification accuracies of original and segmented images are both 94% for a 5-class classification problem. Kinetic modeling results agree well with previously reported data using manual thresholding. The image quantification

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Kinetics of cellular transformation and competing precipitation mechanisms during sub-eutectoid annealing of U10Mo alloys

Cited by 33 publications

References 34 publications

Nanoscale Spatially Resolved Mapping of Uranium Enrichment

Nanoscale Spatially Resolved Mapping of Uranium Enrichment

Texture Evolution in U-10Mo Nuclear Fuel Foils during Plasma Spray Coating with Zr

An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction

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