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Record W1991662347 · doi:10.1179/026708304225017247

Microstructure – property relationships in thermomechanically processed microalloyed medium carbon steels

2004· article· en· W1991662347 on OpenAlexafffund
P. Zhao, J. D. Boyd

Bibliographic record

VenueMaterials Science and Technology · 2004
Typearticle
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCharpy impact testMaterials scienceMicroalloyed steelForgingMicrostructurePearliteMetallurgyToughnessGrain sizeFerrite (magnet)Impact energyComposite material

Abstract

fetched live from OpenAlex

Hot forged plates of two microalloyed grades of 1541 steel have been produced by thermomechanical (TMP) forging schedules. The yield strength and Charpy impact toughness are both increased by TMP treatment, compared to a conventional forging schedule. The strength increase is due to reductions in the ferrite grain size and pearlite colony size. There is also significant precipitation strengthening in the Ti, V microalloyed steel (1541+ Ti, V). The lowering of the impact transition temperature and the increase in Charpy energy produced by the TMP treatments are attributed to the decreases in ferrite grain size and pearlite colony size. In addition, for Nb microalloyed steel, the elongated microstructure and intragranular ferrite produced by TMP forging make the effective pearlite colony size very small in the direction of crack propagation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.009
GPT teacher head0.190
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2004
Admission routes2
Has abstractyes

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