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Record W4385143949 · doi:10.1093/micmic/ozad067.797

A Conventional and High Resolution Electron Backscatter Diffraction (EBSD) Study of Stress Fields around Hydrides in Zircaloy-4

2023· article· en· W4385143949 on OpenAlexaff
Ruth Birch, James O. Douglas, T. Ben Britton

Bibliographic record

VenueMicroscopy and Microanalysis · 2023
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsUniversity of British Columbia
FundersEngineering and Physical Sciences Research Council
KeywordsElectron backscatter diffractionMaterials scienceElectron diffractionStress (linguistics)Zirconium alloyDiffractionMetallurgyOpticsMicrostructurePhysics

Abstract

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Zircaloy-4 is used as a fuel cladding material for water reactors, as it has good mechanical properties, corrosion resistance, and a low thermal neutron absorption cross section. However, the mechanical performance of Zircaloy-4 can be reduced during service due to hydrogen uptake and hydride formation. These hydrides are brittle and can reduce the strength and toughness of thin pressure tubes, which can impact delayed hydride cracking, which motivates further characterization. We use electron backscatter diffraction (EBSD) to explore morphology and orientation relationships between zirconium matrix and zirconium hydrides, where the hydrides are located at and near grain boundaries. Blocky-α Zircaloy-4 [1] with hydrides [2] was prepared and then cross sectioned using cryo-ion beam polishing using argon plasma focused ion beam (pFIB) and broad ion beam (BIB) approaches [3] to enable the preparation of a very high quality flat surface with no preferential etching of either the hydride or zirconium metal (Fig. 1). Conventional EBSD (Fig. 2) and high angular resolution EBSD (HREBSD) was performed capturing diffraction patterns using a Quanta 650 FEG-SEM equipped with an eFlashHD2 detector. Conventional EBSD analysis was performed using data that was indexed online, and subsequently post processed using MTEX. HREBSD analysis was performed using the XEBSD MATLAB code to extract relative variations in (lattice) strain, lattice rotation, and the density of geometrically necessary dislocations. Four maps were collected for analysis which included hydrides located in the following regions: (a) near a triple junction, where the hydride smoothly decorates across two of the connecting grain boundaries; (b) on a grain boundary, where the hydride smoothly decorates the grain boundary; (c) a pair of hydrides at a grain boundary which contain a mixture of smooth decoration of the interface and protrusion into the grains; (d) hydrides on a grain boundary which protrude into one grain. The combined conventional and HR-EBSD analysis highlights that incompatibility of the hydride within the zirconium matrix is strongly linked to the orientation relationship of the hydride and matrix, as well as the character of the grain boundary. For regions that smoothly decorate an interface, typically limited incompatibility is observed (i.e. the lattice strains and lattice rotations are small). In contrast, larger variations in stored deformation are observed where the hydride does not fit ‘as well’ in either grain. This work highlights that the morphology of the hydrides and their location within the material are correlated with the computability of the interfaces, both of the grain boundaries and the hydride-matrix. Furthermore, these results which detail the variation in elastic (i.e. lattice) strain and lattice rotation are only now accessible with state-of-the-art specimen preparation techniques that enable us to produce high quality surfaces that have limited preparation artifacts. [4] Cross section BIB polishing of large grain Zircaloy-4. A shows a schematic showing sample behind Ti blade with polished region indicated (side view) and B shows top view setup for polishing (SE image). The purple arrow indicates the ion beam polishing direction. Conventional EBSD analysis of hydrides near a grain boundary triple junction, polished with cryo pFIB, revealing high quality EBSD patterns and the orientation relationships.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.174
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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 teacher head, 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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Citations1
Published2023
Admission routes1
Has abstractyes

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