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Recrystallization during Beta Working of IMI834

2006· article· en· W2004616557 on OpenAlexaff
Phuong Vo, Mohammad Jahazi, Stephen Yue

Bibliographic record

VenueAdvanced materials research · 2006
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsNational Research Council CanadaMcGill University
Fundersnot available
KeywordsDynamic recrystallizationMaterials scienceRecrystallization (geology)Hot workingMicrostructureMetallurgyHomogenization (climate)Titanium alloyGrain sizeAlloyComposite materialGeology

Abstract

fetched live from OpenAlex

The microstructure evolution of near-alpha IMI834 titanium alloy during hot working in the beta phase temperature regime has been investigated with regard to the effects of deformation and heat treatments. Typical cogging conditions were simulated through compression testing at temperatures of 1025°C-1100°C, strain rates of 0.01s-1-1s-1, and post- deformation heat treatments up to 4h. An analysis of flow behaviour and as-deformed microstructures revealed mechanisms of dynamic recovery and recrystallization in operation during deformation. However, complete grain refinement was not achieved through dynamic recrystallization and subsequent heat treatment was required for microstructure homogenization through metadynamic recrystallization and grain growth. The mechanisms of dynamic and metadynamic recrystallization are considered through quantitative measures of beta grain size and available literature models.

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 score0.007
Threshold uncertainty score0.452

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 head0.032
GPT teacher head0.297
Teacher spread0.265 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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