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Record W3197665481 · doi:10.1111/ffe.13569

An investigation on fracture toughness of the heat‐affected zone in the welded joints of 13% Cr‐4% Ni martensitic stainless steels

2021· article· en· W3197665481 on OpenAlexafffund
Fayaz Foroozmehr, Philippe Bocher

Bibliographic record

VenueFatigue & Fracture of Engineering Materials & Structures · 2021
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsÉcole de Technologie Supérieure
FundersNatural Sciences and Engineering Research Council of CanadaHydro-Québec
KeywordsMaterials scienceWeldingDimpleTearingComposite materialHeat-affected zoneMartensiteFracture toughnessMetallurgyBase metalToughnessVoid (composites)Fracture (geology)Microstructure

Abstract

fetched live from OpenAlex

Abstract Fracture behavior of the welded joints of 13% Cr‐4% Ni stainless steels deposited using multipass flux‐cored arc welding process was examined in both as‐welded and heat‐treated conditions, and J Ic tests were performed. A crack starter notch was placed one millimeter far from the fusion line to evaluate the heat‐affected zone (HAZ). Unstable crack propagations toward the weld metal occurred during stable tearing for both as‐welded and heat‐treated HAZ. Only single‐point fracture toughness J u values could be determined before fracture instability. The fracture toughness of the as‐welded HAZ was about 60% lower than that of the substrate steel but get significantly improved by heat‐treatment, reaching a value even slightly higher than that of the substrate steel. The fracture mode of the stable tearing was transformed from a mix of cleavage and dimpled rupture occurring by micro‐void coalescence mechanism for the as‐welded condition to a totally dimpled rupture in the case of the heat‐treated material.

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)0.001
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 score0.145
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

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