Neutron diffraction measurements of stress in an austenitic butt weld
Bibliographic record
Abstract
In this study, the residual stress distribution in a double-V butt weld plate of 304-type austenitic stainless steel was measured using the neutron diffraction technique with the diffractometer for residual stress analysis (RESA) located in the JRR-3 (Japan research reactor number 3) at the Japan Atomic Energy Agency. Coupon samples were cut from the weld plate in order to follow the changes in chemical and microstructure or effects from type-2 intergranular strains. The residual stresses were measured using the {111}, {002}, and {220} reflections. The residual stress derived from {002} reflection is sensitive to intergranular effects, so that when the analysis ignored intergranular effects, the stress variation for the {002} reflection was different from the stresses derived from the other reflections. However, the stress distributions evaluated from the lattice strains for all the reflections were in good agreement, within the error bar of ± 35 MPa, after correcting the measured strains by subtracting the intergranular strains derived from the coupon measurements. The consideration of intergranular effects thus improves the accuracy of neutron stress measurements of weldments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".