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Record W4406542199 · doi:10.1002/cjce.25602

Pyrolysis kinetics of the carbonization of high‐sulphur anthracite for activated carbon production

2025· article· en· W4406542199 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicMining and Gasification Technologies
Canadian institutionsUniversity of British Columbia
FundersFundamental Research Funds for the Central Universities
KeywordsAnthraciteCarbonizationPyrolysisActivated carbonSulfurKineticsCarbon fibersChemical engineeringChemistryProduction (economics)Waste managementMaterials scienceOrganic chemistryCoalAdsorptionComposite materialEngineeringComposite numberEconomics

Abstract

fetched live from OpenAlex

Abstract The knowledge of pyrolysis kinetics of coal carbonization is essential for the optimization of reactor design and operation for activated carbon production. In the current work, non‐isothermal thermodynamics is used to study the pyrolysis process in the preparation of activated carbon from the high‐sulphur anthracite. It is seen that the co‐pyrolysis of multi‐component coal mixtures can significantly decrease the initial reaction Ea . With a heating rate of 5–20 K/min, the Ea is found to be 18–314 KJ/mol by the distributed activation energy model (DEAM). The similar Ea values of 18–314 KJ/mol and 25–344 KJ/mol are obtained by the integral isoconversional methods of Flynn‐Wall‐Ozawa (FWO) and Kissinger‐Akahira‐Sunose (KAS), respectively. With the increase of pyrolysis degree, the required activation energy increases accordingly. Based on the KAS model, the pyrolysis kinetic equations of high‐sulphur anthracite and its blended coal were derived using the master curve method.

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)0.001
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 score0.166
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.006
GPT teacher head0.178
Teacher spread0.172 · 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