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Record W2237735209 · doi:10.1007/s12598-015-0631-1

Lamellar morphology of directional solidified Ti–45Al–6Nb– <i>x</i> W alloys

2015· article· en· W2237735209 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRare Metals · 2015
Typearticle
Languageen
FieldEngineering
TopicIntermetallics and Advanced Alloy Properties
Canadian institutionsMinistry of Education and Child Care
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsMaterials scienceLamellar structureEutectic systemDifferential scanning calorimetryDirectional solidificationMorphology (biology)Growth rateMicrostructureMetallurgyComposite materialThermodynamics

Abstract

fetched live from OpenAlex

Abstract Directional solidification of Ti–45Al–6Nb– x W ( x = 0, 0.4, 0.8; at%) alloys was performed by Bridgeman method with the stable growth rate of 5, 10, and 20 μm·s −1 . The differential scanning calorimeter (DSC) results indicate that both the eutectic temperature and the transition temperature of α(Ti 3 Al) to γ(TiAl) increase with W content increasing from 0 at% to 0.8 at%. For the stable growth rate of 10 μm·s −1 , the orientations of α 2 (Ti 3 Al)/γ(TiAl) lamellae change from 45° (0 at% W) to 0° and near 0° (0.4 at% and 0.8 at% W) to the crystal growth direction, and the spacing of α 2 /γ lamellae decreases with W content increasing from 0 at% to 0.4 at%, while it increases when W content is 0.8 at%. With the increase in growth rate from 5 to 10 and 20 μm·s −1 , the lamellar spacing of α 2 /γ becomes smaller, and the lamellar thickness becomes more uniform.

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.

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 score0.232
Threshold uncertainty score0.525

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 head0.030
GPT teacher head0.228
Teacher spread0.198 · 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