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Record W2053605547 · doi:10.1115/1.2000264

Tribological Properties and Acoustic Emissions of Some Thermoplastics Sliding Against SAE52100

2004· article· en· W2053605547 on OpenAlex
H. S. Benabdallah

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

VenueJournal of Tribology · 2004
Typearticle
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsRoyal Military College of Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRubbingTribologyMaterials sciencePolyamideComposite materialPolyoxymethylenePolyethylenePolypropyleneVolume (thermodynamics)Lead zirconate titanatePolytetrafluoroethylenePolymerFerroelectricity

Abstract

fetched live from OpenAlex

Measurements were made of the dynamic friction; wear volume and acoustic signal (AE) of several thermoplastics rubbing against smooth SAE-52100 steel. Polyoxymethylene, polyamide, poly(amide-imide), polypropylene, Poly(vinyl chloride), polytetrafluoroethylene, and polyethylene, were investigated using pin-on-disk configuration. Sliding speeds ranged from 0.05 to 0.45 m∕s, and normal loads from 40 to 160 N (2–8 MPa) for sliding distances varying from 4 to 20 km. Orthogonal experimental design and analysis method was used to develop wear equations expressing wear volume as function of the operating parameters. Consistent relations were also found between the integrated AE signal over time and the wear volume as well as the friction work.

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)0.000
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 score0.118
Threshold uncertainty score0.373

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 head0.215
Teacher spread0.193 · 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