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Record W4407719663 · doi:10.1002/cjce.25644

Conversion‐time relations for fluid–solid reactors with shrinking‐core kinetics

2025· article· en· W4407719663 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicProcess Optimization and Integration
Canadian institutionsnot available
FundersAgencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la InnovaciónUniversidad Nacional del LitoralConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsDimensionless quantityResidence time (fluid dynamics)Residence time distributionTaylor seriesMathematicsPlug flowPolynomialIsothermal processDiffusionRange (aeronautics)Flow (mathematics)Applied mathematicsThermodynamicsMechanicsMathematical analysisMaterials scienceGeometryPhysics

Abstract

fetched live from OpenAlex

Abstract The problem of finding expressions linking conversion and residence time for systems of fluid–solid reactions with shrinking‐core kinetics is revisited. The classical formulae are revised for the three classical cases with different rate‐limiting resistances: mass transfer in the film, chemical reaction and diffusion through the ash layer. It is demonstrated that, for a single particle size, the classical Taylor's expansions of the conversion as a function of the dimensionless residence time can be conveniently replaced by other mathematical functions to solve the problem of inaccuracy and multiple roots of the polynomials. The proposed correlations give accurate solutions. Pairwise correlations permit getting the conversion from the residence time, and the residence time from a given conversion, with no multiple roots, for the cases of a continuous reactor with plug flow or perfectly mixed flow, for the three cases of rate‐limiting resistances. The obtained results demonstrate that classical Taylor expansions yield significant errors for small residence times, whereas the newly proposed correlations avoid this issue and provide greater accuracy across the whole range. From the point of view of numerical calculus, the new correlations are simpler and reduce computational effort by eliminating the need to calculate numerous polynomial terms.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.508
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

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 head0.005
GPT teacher head0.184
Teacher spread0.179 · 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