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Record W1996866682 · doi:10.1063/1.1904710

Intergranular strain correlation with magnetic behavior in steel

2005· article· en· W1996866682 on OpenAlexaff
Roxana Hutanu, L. Clapham, R. B. Rogge

Bibliographic record

VenueApplied Physics Letters · 2005
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsMaterials scienceNeutron diffractionBarkhausen effectDiffractionStrain (injury)Intergranular corrosionNuclear magnetic resonanceResidual stressCondensed matter physicsDeformation (meteorology)MagnetizationComposite materialMagnetic fieldMicrostructureOpticsPhysics

Abstract

fetched live from OpenAlex

The correlation between the magnetic behavior and intergranular residual strain was investigated on several mild steel samples which were plastically deformed in the range 0.5%–20% engineering strain followed by unloading. At low deformation levels (0.5%–∼2%) the samples exhibited Luders banding, but after 2% strain the samples appeared uniformly deformed. Magnetic Barkhausen noise (MBN) measurements were used to characterize magnetic behavior and neutron diffraction measurements were used to determine the inter-granular strain. MBN results indicated a high MBN value in the direction transverse to the applied stress. This corresponded to a high strain in the (100) crystallographic direction (the easy magnetization direction), as observed using neutron diffraction. Little correlation was obtained between the MBN result and the (112) strain, which is generally assumed to reflect the macroscopic residual stress. Angular MBN and neutron diffraction results further confirmed the strong correlation between the (100) strain and the MBN result.

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 score0.129
Threshold uncertainty score0.441

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 head0.008
GPT teacher head0.202
Teacher spread0.193 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

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