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Record W2276704581 · doi:10.4271/2011-32-0532

Study on Diffusion Behavior of Evaporative Fuel Gas from Gasoline Carbon Canister in Consideration of Temperature-Dependence

2011· report· en· W2276704581 on OpenAlexaff
Hideaki Kuronuma, Soichiro Masuda, Noriyuki Kobayashi, Kazunari Sato, Koji Yamasaki

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2011
Typereport
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsMAHLE Filter Systems (Canada)
Fundersnot available
KeywordsDiffusionGasolineCarbon fibersDesorptionThermodynamicsGaseous diffusionAdsorptionEnvironmental scienceMaterials scienceNuclear engineeringChemistryChemical engineeringEngineeringComposite materialFuel cellsPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

It is important to quantify the diffusion behavior of evaporative fuel gas in order to control evaporative emission from carbon canister. Especially, it is necessary to take the changes in adsorption-desorption amount and diffusion coefficients by air temperature into account to design carbon canister satisfying various conditions of air. In this study, we estimated diffusion coefficients in carbon canister for the binary system of butane and nitrogen and examined temperature-dependence of diffusion coefficients. The temperature dependence of diffusion coefficients was not clearly observed. Diffusion coefficient of gas phase increased as the temperature was higher. Amount of desorption decreased as the temperature was raised by contraries. Those effects made the complex temperature dependence of the diffusion coefficient. They caused the density increment and the flow caused by pressure simultaneously.

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 score0.004

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.307
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

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

Citations1
Published2011
Admission routes1
Has abstractyes

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