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Record W2033645226 · doi:10.1179/cmq.2006.45.4.441

Effect of Cool Deformation in Low Carbon Microalloyed Steels

2006· article· en· W2033645226 on OpenAlexaff
A.M. Elwazri, D. Bai, Fulvio Siciliano, S. Yue

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2006
Typearticle
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsMcGill University
Fundersnot available
KeywordsMetallurgyMicrostructureMaterials scienceDeformation (meteorology)Microalloyed steelComposite materialAustenite

Abstract

fetched live from OpenAlex

Cool deformation refers to deformation at very low temperatures (close to the ‘coiling’ temperature) which has been found to increase the strength of Nb microalloyed steels. This paper discusses the microstructure changes and possible strengthening mechanisms associated with this technique. Low carbon microalloyed steel specimens were heated to temperatures of 1200 °C and held at temperature for 20 minutes. After this reheat, some specimens were aged at 400 °C for times ranging from 10 minutes to 10 hours followed by air cooling. Others were subjected to deformation at 400 °C (‘cool deformation’) prior to ageing. The mechanical properties of the heat treatment and cool deformed specimens were evaluated by shear punch tests at room temperature and precipitates were characterized by electron microscopy. By comparing the results of each series of tests, the influence of cool deformation is assessed.Le terme déformation fraiche (cool deformation) fait référence à une déformation performée à basses températures, soit près de la température de bobinage. Certains tests ont démontré que l’utilisation de cette technique augmente la force des aciers micro-alliés au Nb. Cet article étudie les changements de microstructure associés à déformation fraiche et ses mécanismes de renforcement possibles. Des échantillons d’acier bas carbone micro-alliés ont été chauffés et maintenus à 1200 °C pour 20 minutes. Après cette chauffe, certains échantillons ont été vieillis à 400 °C pour un laps de temps variant entre 10 minutes et 10 heures puis refroidis à l’air. D’autres échantillons ont été déformés à 400 °C (déformation fraiche) avant d’être vieillis. Des essais de cisaillement par poinçonnage (” shear punch test ») ont été utilisés pour évaluer les propriétés mécaniques des échantillons à température de la pièce. Les précipités formés lors du traitement thermique ont été observés par microscopie électronique. En comparant les résultats de chaque série de test, l’influence de déformation fraiche est évaluée

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.986

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 head0.002
GPT teacher head0.163
Teacher spread0.161 · 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 designBench or experimental
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

Citations7
Published2006
Admission routes1
Has abstractyes

Explore more

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