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Record W2325825475 · doi:10.1021/ef3012195

Minimization of Coke in Thermal Cracking of Athabasca Vacuum Residue in a High-Temperature Short-Residence Time Continuous Flow Aerosol Reactor

2012· article· en· W2325825475 on OpenAlexafffund
Kourosh Vafi, William C. McCaffrey, Murray R. Gray

Bibliographic record

VenueEnergy & Fuels · 2012
Typearticle
Languageen
FieldEngineering
TopicHeat transfer and supercritical fluids
Canadian institutionsUniversity of Alberta
FundersSyncrude
KeywordsCokeAerosolChemistryCrackingBoiling pointVaporizationYield (engineering)BoilingHydrogenAnalytical Chemistry (journal)Materials scienceMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Yield of coke in thermal cracking of Athabasca vacuum residue in a continuous flow aerosol reactor was minimized by atomization of the feed into submicrometer droplets, which enhanced the vaporization and conversion of the heavy liquid phase with boiling point above 524 °C. The reaction temperature ranged from 700 to 800 °C, and the pressure was atmospheric. The residence time varied from 100 to 115 ms. The yield of coke was found to be insensitive to conversion, with an average value of 6.3 wt %. The average size of the coke particles in the product was less than 190 nm. Alkenes were the dominant components among the gas products, with total yield of ethene and propene ranging from 5 to 18 wt % with conversion. The molar ratio of hydrogen to carbon decreased monotonically with conversion from 1.4 for unconverted feed to 0.98 at 78% conversion, consistent with high yields of hydrogen-rich gas products.

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 score0.005

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)0.0000.000

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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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

Citations24
Published2012
Admission routes2
Has abstractyes

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