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Record W2895908633 · doi:10.1088/2053-1591/aaea34

Enhancing plasticity by increasing tempered martensite in ultra-strong ferrite-martensite dual-phase steel

2018· article· en· W2895908633 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

VenueMaterials Research Express · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsMaterials scienceMartensiteElectron backscatter diffractionUltimate tensile strengthMetallurgyMicrostructureVolume fractionDual-phase steelFerrite (magnet)PlasticityAnnealing (glass)AusteniteComposite material

Abstract

fetched live from OpenAlex

The present study focuses on the influence of tempered martensite (TM) on the mechanical properties and fracture mechanisms of an ultra-strong dual-phase (DP) steel. The steel was subjected to intercritical annealing combined with an aging process. The high fraction of martensite (above ∼70 vol%) results in a high strength level above 1300 MPa, and the presence of TM ensures a good ductility up to ∼10% total elongation. The microstructures of the tested steels were analyzed by the scanning electron microscopy (SEM), transmission electron microscopy (TEM) and electron backscatter diffraction (EBSD). Results showed that a higher fraction of TM significantly improves ductility, mainly due to its beneficial effects on damage tolerance. More specific, the damage behavior alters from martensite cracking to ferrite-martensite interface decohesion, with increasing TM fractions. This results in higher post uniform elongation (PUE) values. With the increase of intercritical annealing temperature, the yield strength (YS) increases, but both the ultimate tensile strength (UTS) and strain hardening rate decrease. The strain hardening rate was discussed based on the influence of carbide precipitates and decreasing geometrically necessary dislocation (GNDs). Besides, we found that the aging process could significantly increase the volume fraction of TM and improve the plasticity.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.034
GPT teacher head0.300
Teacher spread0.266 · 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