MétaCan
Menu
Back to cohort
Record W2375893094

Effect of Rotational Speeds and Mated Balls on the Vacuum Tribological Properties of a-C∶H film

2012· article· en· W2375893094 on OpenAlexaff
Ji Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsTribometerTribologyMaterials scienceLubricantAmorphous solidSputter depositionComposite materialFriction coefficientDopantDopingMetallurgyThin filmSputteringNanotechnologyCrystallographyOptoelectronics
DOInot available

Abstract

fetched live from OpenAlex

Amorphous hydrogenated carbon(a-C∶H) films have great application prospects as a space lubricant,the vacuum tribological properties of the film have related to the doping elements,frictional counterpart,sliding speed,etc.The a-C∶H and composite films with different dopants of Cr,MoS2 with a thickness of 1.3-1.5 μm were deposited on stainless(steel AISI202) and p(111) silicon substrates using a medium frequency unbalanced magnetron sputtering system.The vacuum tribological properties of a-C∶H film and films with different dopants(Cr,MoS2) were tested on a ball-on-disk tribometer.The effect of the mated balls and rotational speeds on the tribological properties of the amorphous carbon film were also investigated.The film with the best tribological properties was investigated with different counterparts(GCr15,Si3N4,and C) and rotational speeds(100,500,and 1000 r/min).The results show that the pure a-C∶H film exhibits the lowest friction coefficient(0.005) and the longest wear lifetime.The counterpart ball has little effect on the friction coefficient even though the wear life of the film decreased with increasing hardness of the counterpart ball.Meanwhile,the friction coefficient and wear life decreases with increasing rotating speed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.003
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.026
GPT teacher head0.270
Teacher spread0.244 · 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.

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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicDiamond and Carbon-based Materials ResearchFrench-language works237,207