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Record W2011011642 · doi:10.1115/ijtc2007-44131

Friction and Wear Behaviour of Nanocrystalline Cobalt

2007· article· en· W2011011642 on OpenAlexaff
M. Shafiei, A.T. Alpas

Bibliographic record

VenueASME/STLE 2007 International Joint Tribology Conference, Parts A and B · 2007
Typearticle
Languageen
FieldEngineering
TopicMetal and Thin Film Mechanics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTribometerMaterials scienceNanocrystalline materialMicrocrystallineCobaltGrain sizeTribologyMetallurgyFriction coefficientCrystalliteComposite materialNanotechnologyChemistryCrystallography

Abstract

fetched live from OpenAlex

The friction and wear properties of nanocrystalline cobalt (nc Co) with a grain size of 20±5 nm and a hardness of 503±13 HV were studied using a pin-on-disc tribometer. Tests performed under unlubricated sliding conditions in ambient air showed that large tribolayer area covered the nc Co’s wear track. The oxygen concentration of the tribolayer was higher than that formed on contact surfaces of microcrystalline cobalt (mc Co) with a grain size of 16±3 μm and a hardness of 299±8 HV tested under the same conditions, due to the higher tendency of nc Co for oxidation. Higher rate of oxidational wear in nc Co resulted in higher initial surface damage in this material compared to the mc Co. Once the tribolayer was formed on top of the contact surfaces, a steady-state wear regime prevailed, reducing the coefficient of friction (COF) and the wear rate in this sample.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.493

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 head0.021
GPT teacher head0.234
Teacher spread0.212 · 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 designTheoretical or conceptual
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

Citations1
Published2007
Admission routes1
Has abstractyes

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