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Record W4406444931 · doi:10.1016/j.msea.2025.147875

Comparison of gaseous hydrogen effects in 1200 MPa high strength martensitic and pearlitic steels

2025· article· en· W4406444931 on OpenAlexfundno aff
Thorsten Michler, Lisa Claeys, Sabine Oeser, Tom Depover

Bibliographic record

VenueMaterials Science and Engineering A · 2025
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsnot available
FundersUniversiteit GentMovember CanadaBundesministerium für Bildung und Forschung
KeywordsMaterials scienceMetallurgyMartensiteHydrogenComposite materialMicrostructureChemistry

Abstract

fetched live from OpenAlex

This study compares gaseous hydrogen effects in a high strength martensitic and pearlitic steel (ultimate tensile strength of 1200–1300 MPa). When tensile tested in 10 MPa gaseous hydrogen at room temperature, the relative reduction of area (RRA) is 14 % for the martensitic steel while the pearlitic steel shows much improved behaviour with an RRA of 75 %. The microstructures of both steels are characterized in detail pre- and post-mortem. Fractography reveals that hydrogen assisted fracture occurs predominantly along prior austenite grain boundaries for the martensitic steel while tearing topography surface characteristics are observed for the pearlitic steel. Thermal desorption spectroscopy measurements show similar total hydrogen contents of about 2 wppm in both microstructures. In the martensitic microstructure, hydrogen is weakly trapped, whereas in the pearlitic microstructure, about 30 % of the hydrogen is strongly trapped. This seems to be one important reason for the higher RRA of the pearlitic microstructure in 10 MPa gaseous hydrogen.

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 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)0.001
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 score0.011
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.007
GPT teacher head0.256
Teacher spread0.249 · 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 teacher head, 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

Citations5
Published2025
Admission routes1
Has abstractyes

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