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Record W7117144048 · doi:10.1016/j.jallcom.2025.185805

Cold-rolling of Ti based alloys: How does plastic deformation improve the hydrogen sorption?

2025· article· en· W7117144048 on OpenAlexaff
Anthony Alhayek, J. Ledieu, Jing Wen, V. Fournée, Sylvie Migot, Jaâfar Ghanbaja, Jacques Huot, Patricia de Rango, Thierry Grosdidier

Bibliographic record

VenueJournal of Alloys and Compounds · 2025
Typearticle
Languageen
FieldMaterials Science
TopicTitanium Alloys Microstructure and Properties
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersShanghai Jiao Tong UniversityKyushu UniversityAgence Nationale de la Recherche
KeywordsHydrogenDeformation (meteorology)PlasticitySevere plastic deformationTitanium alloyTitanium

Abstract

fetched live from OpenAlex

Different amounts of cold rolling were applied to a commercial pure hexagonal Ti – taken as a “model material” - to gain new insights into the effect of plastic deformation on hydrogen absorption properties (activation and kinetics). Reproducible specific H 2 charging procedures were set to discriminate between different material parameters such as structural defects (dislocations, vacancies), grain boundaries, texture and native oxide stability. The positive effect of increasing the amount of plastic deformation on improving the absorption kinetics was maintained despite the occurrence of a recrystallisation process - that removes most of the structural defects induced by rolling - before any H 2 loading. Decisive factors responsible for improved absorption kinetics such as higher proportion of high-angle grain boundaries, texture strengthening, as well as surface oxide layer modification induced by increasing cold rolling are analysed and thoroughly discussed. The H-absorption curves in Ti are characterized by three different stages, having possibly very different durations. It is essentially the formation of the hydrogen (hcp) α-Ti solid solution (stage I) and its transformation into the (bcc) β-Ti phase (stages II) that are affected by these decisive parameters. In particular, cold rolling has a major effect on destabilizing the surface oxide which, in turn, shows faster reduction towards its metal form. The subsequent kinetics, towards the formation of the δ-TiH 2 hydride (stage III), being related to the volume expansion cracking and the formation of fresh surfaces, is always rather fast even at low (400 – 450°C) charging temperatures.

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 head0.007
GPT teacher head0.207
Teacher spread0.201 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Alloys and CompoundsSame topicTitanium Alloys Microstructure and PropertiesFrench-language works237,207