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Record W4409730273 · doi:10.1080/13640461.2025.2495506

The formation mechanism of beta-flecks in vacuum arc remelted titanium alloy ingots

2025· article· en· W4409730273 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

VenueInternational Journal of Cast Metals Research · 2025
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMaterials scienceMetallurgyAlloyVacuum arcTitanium alloyMechanism (biology)TitaniumBETA (programming language)Arc (geometry)Mechanical engineeringNuclear physicsPlasmaEngineering

Abstract

fetched live from OpenAlex

Beta fleck is presently held to arise in vacuum arc remelted (VAR) ingots through two mechanisms, freckle formation and inter-crystalline segregation in the central region of the ingot. Using modelling results and data from industrial ingot production we analyse the solidification and segregation processes required for the formation of both features by considering the fluid flow and gravitational forces arising during solidification. It is found, by analogy with studies on the superalloys, that freckling requires the prior formation of local high-permeability solidification irregularities in the columnar-dendritic structure. Inter-crystalline segregation is related to the formation of the central equiaxial crystal structure. The practical implications in process modification to avoid the defects are discussed.

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)0.002
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 score0.193
Threshold uncertainty score0.209

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.374
Teacher spread0.329 · 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