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Record W2280096855

The Effect of Cold Rolling Process on the Microstructure and Texture Evolution in a 1 wt. % Si Non-oriented Electrical Steel

2015· article· en· W2280096855 on OpenAlexaff
Ali Sonboli, Mohammad Reza Toroghinejad, H. Edris, Jerzy A. Szpunar

Bibliographic record

Venueinternational journal of iron and steel society of iran · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMaterials scienceAnnealing (glass)MicrostructureMetallurgyElectrical steelShear (geology)Shear bandHot rolledComposite material
DOInot available

Abstract

fetched live from OpenAlex

In this study, the effect of cold rolling process on the microstructure and texture evolution in 1wt. % Si non-oriented electrical steel was investigated. For this purpose, all samples were processed through single-stage hot rolling at 1100 ° C and two-stage cold rolling (cross rolling and unidirectional rolling) with intermediate annealing at 650 °C for 35 seconds. Finally, all of them were fully annealed for 3 min at 900 ° C. The results showed that cold rolling process could affect shear band formation, deformation texture and annealing texture. Shear band and {322} grains were decreased and {100} grains were increased by the cross rolling method. These observations showed the weakening of the {110} and {111} components and the strengthening of the {001} component after final annealing for the cross rolled sample. On the other hand, shear band formation in the unidirectional rolling sample caused the development of annealing Goss texture component ({110} ).

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 score0.391
Threshold uncertainty score0.145

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.249
Teacher spread0.241 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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