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Record W3034456833 · doi:10.5006/c2013-02484

Restoration of Precipitation Strengthened Steel Properties as Part of the Field Repair

2013· article· en· W3034456833 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Failure Mechanisms
Canadian institutionsNorbord (Canada)
Fundersnot available
KeywordsPrecipitationCorrosionMaterials scienceMetallurgyMeteorologyPhysics

Abstract

fetched live from OpenAlex

Abstract The precipitation strengthened martensitic stainless steel has been the material of choice for a continuous steel belt used in panel-board pressing. By being subjected to periodic denting with ensuing fatigue cracking it must be repaired in the field in order to avoid costly and time-consuming shutdowns needed to replace the belt. The welding repair process, no matter how carefully it is conducted, subjects the surrounding base metal to temperatures at which the crystalline phase reinforcement reverts back to a solid solution leaving it in the annealed, i.e. low hardness/strength condition. This loss of strength makes the repaired area more prone to denting and fatigue cracking than the rest of the steel belt, causing subsequent failures in the repaired area. The paper describes lab experiments and field application of an optimized heat treatment to the repaired spot aimed at restoring its original strength

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score0.998

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)0.0030.000

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 head0.017
GPT teacher head0.214
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