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Record W2966071090 · doi:10.1017/s1431927619013813

Effect of High Temperature Impact on The Formation of Adiabatic Shear Bands

2019· article· en· W2966071090 on OpenAlexaff
Ali Eliasu, Solomon Boakye–Yiadom

Bibliographic record

VenueMicroscopy and Microanalysis · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsYork University
Fundersnot available
KeywordsAdiabatic shear bandAdiabatic processShear (geology)Library scienceMaterials scienceEngineering physicsEngineeringPhysicsComputer scienceThermodynamicsComposite material

Abstract

fetched live from OpenAlex

during plastic deformation were significantly high and concentrated in narrow regions within the material under high strain rates and large strains of deformation, then the structure within the shear bands in the steel specimens should have evidence of this rise in temperature. The observed structure within the shear bands at both room and high temperature impact did not lend credence to a significant rise in temperature. It is concluded that the presence of high strain energies within the evolved ASBs led to recrystallization of the structure within the shear bands when compared to regions outside the shear bands. In addition, the high hardness is attributed to the presence of re-precipitated carbides which were dissolved within the evolved shear bands.

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)0.000
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 score0.008
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.002
GPT teacher head0.255
Teacher spread0.252 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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