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Record W4247463065 · doi:10.18130/v3b59j

Measurement and Prediction of Texture Evolution During Processing: Application to Rolled α-Uranium and Extruded Magnesium Alloys

2016· dissertation· en· W4247463065 on OpenAlexfundno aff
Robert S. Klein

Bibliographic record

VenueLibra · 2016
Typedissertation
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsnot available
FundersNatural Resources Canada
KeywordsMagnesiumMetallurgyTexture (cosmology)Materials scienceUraniumArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

The goal of this thesis research was to enhance the understanding of the property and texture evolution of non-cubic metals and alloys during industrial deformation processes: cold-rolling and hot extrusion. Low-enriched uranium foil is a candidate target material for production of the medical isotope Tc-99m. To explore the effects of thermo-mechanical processing on these foils, surrogate depleted uranium foils were prepared for study by cold-rolling a cast plate to the target thickness with intermediate annealing steps. The post-rolling texture of the samples was measured by x-ray diffraction and their microstructure was examined by optical microscopy. Continuum finite element (FE) analysis, with an isotropic J2 (von Mises) plasticity constitutive law, was used to simulate the strain history experienced by the material during rolling. This strain history was used as an input for viscoplastic self-consistent (VPSC) polycrystal plasticity simulations of texture evolution. The ultimate goal of the combined FE-VPSC framework is to allow the effect of variations in rolling process parameters on the texture to be predicted a priori. Measured texture data of uranium samples reveals that (020) poles will align with the rolling direction of the foil. An additional feature of the texture has the (002) poles aligning close to the normal direction of the foil, but tilted towards the transverse direction. Predicted textures via the FE-VPSC system capture the alignment of the (020) poles along the rolling direction, and predict that the (002) poles will align with the normal direction with a tilt towards the rolling direction. Comparison of predicted and measured textures with other texture data in the literature reveal that the effect of recrystallization must be considered. The elastic and thermal properties were predicted based upon the functional forms of single crystal thermo-elastic properties and self-consistent polycrystal averaging. Plastic properties were predicted via VPSC’s capability to generate yield surfaces and stress-strain curves based upon inputs consisting of the single crystal plastic behavior a texture input. The property predictions reveal that the resulting foil will exhibit near elastic isotropy, moderate thermal expansion anisotropy, and strong plastic anisotropy. Magnesium alloy tubes offer an attractive combination of strength and density. However, their poor crushing behavior under axial loads has prevented their use in crash-sensitive automotive structures such as crush rails. Previous investigations suggest that it is possible to achieve dramatic modifications to both strength and ductility of magnesium alloys through a combination of alloying, grain refinement, and texture control. The texture evolution was predicted using the viscoplastic self-consistent (VPSC) crystal plasticity model, with strain path input from continuum-based FE simulations of extrusion. Magnesium alloy tube samples were created and post-extrusion textures were measured both by x-ray diffraction and electron backscatter diffraction. The measured textures had a combination of features commonly observed in extruded and rolled magnesium textures. Pole figure plots of these textures show the (00.2) poles aligning with the radial direction of the tube as well as the (10.0) poles sweeping from the extrusion direction to the hoop direction of the tubes. Crush testing of the tubes reveal that the WE43 magnesium alloy exhibits superior energy absorption. The crush behavior of the Mg alloy tubes is discussed in terms of their crystallographic texture. Textures from the WE43 samples contain additional features, with some (00.2) poles aligning 45° from the extrusion direction, as well as along the extrusion direction. These additional features orient favorably for slip deformation and impede c-type extension twinning, respectively. This situation in which the texture causes the sample to accommodate strain by slip rather than twinning mechanisms helps to explain the absence of a twinning-type plateau in the force v. displacement curves generated via the axial crush tests performed on the WE43 samples.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.206
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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