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Record W4412686846 · doi:10.1016/j.matlet.2025.139188

Novel insights into anisotropy in a rolled Ti2AlNb-based alloy: The role of α2, O and B2 phases

2025· article· en· W4412686846 on OpenAlexafffund
Pengfei Zhao, Guojian Cao, Aihan Feng, Shoujiang Qu, Hao Wang, D.L. Chen

Bibliographic record

VenueMaterials Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicIntermetallics and Advanced Alloy Properties
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMaterials scienceAlloyAnisotropyMetallurgyCrystallographyOptics

Abstract

fetched live from OpenAlex

With increasing demands for aero turbine engines that require high specific strength and resistance to multi-directional dynamic stresses, the anisotropy of Ti 2 AlNb-based rolled alloys has emerged as a critical research focus. This anisotropy primarily stems from the textures of different phases in the alloy and their associated deformation behavior. Specifically, the textures of the α 2 and O phases contribute to increased strength and decreased elongation in the transverse direction (TD) sample when compared to the rolling direction (RD) sample. The B2 phase texture leads to lower elongation in the diagonal direction (DD) sample relative to the TD sample. Additionally, the α 2 phase texture facilitates slip in the RD sample, whereas the O phase texture promotes twinning in the TD sample

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.004
GPT teacher head0.190
Teacher spread0.186 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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