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Record W2899104721 · doi:10.1080/02670836.2018.1540507

High-strain-rate deformation behaviour of new high-Mn austenitic steel during impact shock-loading

2018· article· en· W2899104721 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

VenueMaterials Science and Technology · 2018
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMaterials scienceStrain rateSplit-Hopkinson pressure barFlow stressElectron backscatter diffractionCrystal twinningDeformation (meteorology)Composite materialMartensiteShock (circulatory)Strain hardening exponentMetallurgyPlasticitySofteningMicrostructureStrain (injury)Portevin–Le Chatelier effectDynamic strain aging

Abstract

fetched live from OpenAlex

The influence of impact shock-loading was investigated on the mechanical behaviour, microstructure evolution, and texture of a new high-Mn steel. The mechanical behaviour of the shock-loaded specimen was compared with quasi-static compression condition. A Hopkinson pressure bar setup was used to perform the high-strain-rate deformation. Continuous yielding was observed under both low and high-strain-rate deformation. The yield stress also illustrated a positive strain-rate sensitivity with increasing strain-rate. An obvious increase in the flow stress of the steel was detected at higher strain-rate. A strain hardening followed by a strain softening was detected in stress–strain curve after shock-loading. Electron backscatter diffraction also displayed the activation of strain-induced ϵ-martensite and ά-martensite while deformation twinning was absent at high-strain-rate.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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