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Record W4416831561 · doi:10.5611/hamon.34.3_89

Neutron Non-destructive Inspection for Steel Welding & Resin Form Processing

2024· article· en· W4416831561 on OpenAlexaff
Satoshi Koizumi, Shiho Tanaka, Yohei Noda, Tomoki Maeda, Masatoshi Nakamura, Yuki Cho, Makoto Yamada, Hideki Izunome, Hitosi Terakado, Kojima Hidenori

Bibliographic record

Venuehamon · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsWeldingNeckingNeutron diffractionDeformation (meteorology)Intensity (physics)Small-angle neutron scatteringDiffraction

Abstract

fetched live from OpenAlex

In order to promote the industry use of neutrons from inside Ibaraki prefecture, we initiated a collaboration with the union of steel welding in Ibaraki. By using a combined method of neutrons, i.e., radiography (NR), diffraction (ND) and small-angle scattering (SANS), which has recently developed on the iMATERIA instrument (BL20) at MLF in J-PARC, we examined the rod-shaped ferritic steel showing plastic deformation with necking after imposing large elongation of 20 % (the diameter decreases from 14 mm to 10mm, measured by a micrometer caliper). At a position of the necking, we found as follows, (i) near along a direction normal to the rod axis, the diffraction (110) increases 85 % in intensity and decreases 0.03 % in d-spacing (ii) the SANS intensity increases 300 % and (iii) the NR brightness increases 30 %. These findings are attributed to the reorientation of crystals and formation of microvoids under plastic deformation of ferritic steel.

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 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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.355

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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 designTheoretical or conceptual
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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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