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Record W1533414724 · doi:10.1002/ls.1166

Tribology of fluorinated diamond‐like carbon coatings: first principles calculations and sliding experiments

2012· article· en· W1533414724 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLubrication Science · 2012
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversity of Windsor
FundersGeneral Motors of Canada
KeywordsTribologyDiamond-like carbonX-ray photoelectron spectroscopyAluminiumMaterials scienceCarbon fibersCoatingDiamondComposite materialChemical engineeringNanotechnologyThin film

Abstract

fetched live from OpenAlex

ABSTRACT Sliding contact experiments and first principles calculations were conducted to study tribological properties of aluminium and fluorinated diamond‐like carbon (F‐DLC) surfaces. Sliding tests between Al and an F‐DLC coating generated a low coefficient of friction (COF) of 0.09–0.14 and led to the formation of carbonaceous transfer layers containing AlF 3 on the Al surfaces as determined by X‐ray photoelectron spectroscopy. An interface model that examined the interactions between Al (111) and F‐terminated diamond (111) surfaces revealed that F atoms would transfer to the Al surface in increasing quantities with an increase in the contact pressure and the F transfer would lead to the formation of a stable AlF 3 compound at the Al surface. The generation of repulsive forces between two F‐passivated surfaces as a result of the F transfer to the Al surface was shown to be responsible for the low COF between Al and F‐DLC. Copyright © 2012 John Wiley & Sons, Ltd.

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 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 score0.020
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.051
GPT teacher head0.322
Teacher spread0.271 · 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