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Record W2175282274 · doi:10.1016/j.matchar.2015.11.022

Microstructure characterization and hardness distribution of 13Cr4Ni multipass weld metal

2015· article· en· W2175282274 on OpenAlexafffund
Mohsen Mokhtabad Amrei, H. Monajati, Denis Thibault, Yves Verreman, Lionel Germain, Philippe Bocher

Bibliographic record

VenueMaterials Characterization · 2015
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsPolytechnique MontréalHydro-QuébecÉcole de Technologie Supérieure
FundersHydro-QuébecAgence Nationale de la RechercheNatural Sciences and Engineering Research Council of CanadaÉcole de technologie supérieure
KeywordsMaterials scienceMicrostructureWeldingTemperingMartensiteAusteniteQuenching (fluorescence)MetallurgyCharacterization (materials science)FabricationComposite materialOpticsNanotechnology

Abstract

fetched live from OpenAlex

Multipass welding is a common method for fabrication and repairs of large industrial steel parts. In the hydroelectric industry these parts are commonly made with 13Cr4Ni steels that present outstanding performances. In this research the microstructures and crystallographic textures of a multipass weld have been studied. The microstructure was found to be complex and heterogeneous, consisting of several regions affected by adjacent weld passes. The study showed that austenite parent grains modification happened in areas close to the subsequent weld passes. However, parallel and low angle interface laths were observed inside martensite sub-blocks over different regions. The hardness profile was explained by overlaying the simple three regions heat affected zone . In some regions a tempering heat treatment effect was observed while in some other regions a double-quenching has happened. • Effects of weld passes' thermal cycle on microstructure and hardness of adjacent weld beads in a 13Cr4Ni multipass joint • Regions inside an as-welded bead of a 13Cr4Ni multipass weld • Inhomogeneity inside a 13Cr4Ni multipass weld

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)0.000
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.207
Teacher spread0.196 · 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

Citations43
Published2015
Admission routes2
Has abstractno

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