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An experimental apparatus for in-situ neutron diffraction studies of hydrogen ingress, dissolution and precipitation at controlled temperature and applied tensile stresses

2021· article· en· W3185826057 on OpenAlexaff
Julien Lang, Michael A. Gharghouri, H. Fritzsche

Bibliographic record

VenueJournal of Instrumentation · 2021
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsCanadian Nuclear Laboratories
Fundersnot available
KeywordsUltimate tensile strengthMaterials scienceHydrogenDissolutionSolubilityEmbrittlementHydrogen embrittlementNeutron diffractionPrecipitationTensile testingStress (linguistics)Composite materialMetallurgyDiffractionChemical engineeringChemistryOpticsCorrosionPhysics

Abstract

fetched live from OpenAlex

Abstract This manuscript presents the design and utilisation of a unique environmental chamber allowing specimens to be heated and cooled, under tensile load and controlled atmosphere, while in a neutron beam, offering a unique opportunity for in-situ neutron diffraction experiments. The chamber was built to gain insight into the impact of parameters such as tensile stress, temperature and exposed atmosphere on the hydrogen solubility of materials and on the mechanisms relating to delayed hydride cracking, hydrogen embrittlement and hydrogen ingress. The investigation presented in this work shows the chamber's performance up to 450°C and 275 MPa applied tensile stress. The effect of tensile stresses and temperature on hydrogen solubility in Zr-2.5Nb is presented for samples nominally charged to hydrogen concentration equivalents of 200 and 500 wppm (mg/kg). Due to kinetic factors, no significant effect of tensile stress on the hydrogen solubility of our samples was found for temperatures up to 300°C and at tensile stresses up to 275 MPa.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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
GenreMethods

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
Published2021
Admission routes1
Has abstractyes

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