MétaCan
Menu
Back to cohort
Record W2791328317 · doi:10.1080/03019233.2018.1440780

Control of edge breaks during cold mill processing of commercial and drawing quality low-carbon steels

2018· article· en· W2791328317 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIronmaking & Steelmaking Processes Products and Applications · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsMcMaster UniversityEssar Steel Algoma (Canada)
FundersMcMaster University
KeywordsAnnealing (glass)Materials scienceMetallurgyMicrostructureElongationCarbon fibersGrain sizeUltimate tensile strengthComposite material

Abstract

fetched live from OpenAlex

The effects of chemistry, reduction ratio and annealing cycle on edge breaks/Lüder lines during cold mill processing of commercial and drawing quality low-carbon steels have been investigated. It is possible to eliminate Lüder bands and associated yield-point elongation (YPE) by producing interstitial free steels that do not contain any free C or N. In low-carbon steel, however, it is necessary to develop other strategies for reducing Lüdering and YPE. Reduction ratios and annealing cycles that resulted in a uniform, completely recrystallised microstructure were ineffective at reducing YPE. It was determined that the most promising approach for reducing YPE in steels containing free interstitials is to develop a heterogeneous microstructure. This was achieved through abnormal grain-growth in the full-recrystallised material to create a bimodal grain-size distribution. The implications for the production of commercial and drawing quality low-carbon steels are discussed.

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 categoriesMeta-epidemiology (narrow)
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 score0.034
Threshold uncertainty score1.000

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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