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On the Plasticity of Bimodal Structures in Titanium Alloys

2025· article· en· W4408178129 on OpenAlexaff
Arunima Banerjee, Zhuowen Zhao, Shanoob Balachandran, Philip Eisenlohr, D. Banerjee

Bibliographic record

VenueMATERIALS TRANSACTIONS · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsSmarter Alloys (Canada)
FundersIndian National Science Academy
KeywordsMaterials sciencePlasticityTitanium alloyTitaniumMetallurgyCrystallographyComposite materialAlloy

Abstract

fetched live from OpenAlex

The onset of plasticity in engineering titanium alloys with bimodal microstructures depends on the activation of slip in the equiaxed α grains. We use protocols based on slip trace offset analysis to measure the ratios of critical resolved shear strengths (CRSS) in the equiaxed α grains in bimodal microstructures of Ti 6242 and Ti 6246 alloys. The resulting CRSS ratios for prismatic 〈a〉/basal 〈a〉 and pyramidal 〈a〉/basal 〈a〉 for Ti 6242 vary depending on whether the probability of slip is estimated at high Schmid factors for these slip systems or average Schmid factors over the range of orientations of equiaxed α used in the dataset. We compare these ratios to the existing data on these and other titanium alloys. We then examine slip in transformed β in these bimodal structures and conclude that deformation in transformed β is influenced strongly by slip transfer from equiaxed α arising from orientation relationships between equiaxed α and β rather than global Schmid factors associated with the load axis.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.013
GPT teacher head0.237
Teacher spread0.224 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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