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Record W2046184291 · doi:10.1179/175158407x231303

Chemical and mechanical analysis of tribofilms formed from fully formulated oils Part 2 – Films on Al–Si alloy (A383)

2007· article· en· W2046184291 on OpenAlexaff
Gavin Pereira, A. Lachenwitzer, Y. R. Li, M. Kasrai, G.M. Bancroft, P.R. Norton, Mike Abrecht, Benjamin Gilbert, Tom Regier, Yongfeng Hu, Lucia Zuin

Bibliographic record

VenueTribology - Materials Surfaces & Interfaces · 2007
Typearticle
Languageen
FieldEngineering
TopicLubricants and Their Additives
Canadian institutionsCanadian Light Source (Canada)University of SaskatchewanWestern University
Fundersnot available
KeywordsAlloyMaterials scienceMicrostructureIndentationNanoindentationModulusStiffnessZincElastic modulusMetallurgyComposite material

Abstract

fetched live from OpenAlex

The interactions of a commercially available fully formulated oil on an Al–Si alloy have been studied, and a chemical and mechanical characterisation of the resulting surface films has been undertaken to compare with the results found on 52100 steel. ZnS and Ca phosphate are the primary species found. No Mo species were found in the film, but B was detected; the latter observation contrasts with the results found for 52100 steel. A surprisingly consistent indentation modulus was found for the films formed on A383, considering the complex microstructure of the alloy, which has been shown previously to influence the mechanical response of the film produced from zinc dialkyl dithiophosphates (ZDDPs) in oil. The stiffness of the films on A383 is statistically indistinguishable from that found on 52100 steel, and the topography of the film also looks unchanged compared to the steel study.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.012
GPT teacher head0.241
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2007
Admission routes1
Has abstractyes

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