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Record W2020954980 · doi:10.1002/cjce.5450820509

Kinetics and Combustion Characteristics of Deinking Sludge in a Thermobalance and an Internally Circulating Fluidized Bed

2004· article· en· W2020954980 on OpenAlexafffundvenue
Won Namkung, Seon Ah Roh, Christophe Guy, Sang Done Kim

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2004
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsPolytechnique Montréal
FundersMinistère de l'Éducation, du Loisir et du Sport Québec
KeywordsFluidized bed combustionCharCombustionActivation energyFluidized bedMaterials scienceArrhenius equationDeinkingAnnulus (botany)ThermodynamicsArrhenius plotDilatometerChemistryChemical engineeringWaste managementComposite materialOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Abstract The kinetic parameters (activation energy, pre‐exponential factor and reaction order) of volatile and char of deinking sludge are determined by thermo‐gravimetric analysis. From the Arrhenius plot, the activation energy and the pre‐exponential factor of char are determined. The reaction order is found to be 0.7 with respect to oxygen partial pressures of 507 – 3040 Pa. The effects of riser gas velocity, solid feeding rate and annulus air on combustion efficiency have been determined in an internally circulating fluidized bed (ICFB). The combustion efficiency decreases with increasing riser gas velocity and solid feeding rate, while it increases with increasing annulus air. High combustion efficiency is obtained when the annulus air is injected.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.006
GPT teacher head0.184
Teacher spread0.177 · 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

Citations6
Published2004
Admission routes3
Has abstractyes

Explore more

Same venueThe Canadian Journal of Chemical EngineeringSame topicThermochemical Biomass Conversion ProcessesFrench-language works237,207