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Record W2525020197 · doi:10.1002/cjce.22700

Reactor dynamics investigation based on calorimetric data

2016· article· en· W2525020197 on OpenAlexvenueno aff
Charles Ibrahim Guinand, Michal Dabros, Thierry Meyer, Francis Stoessel

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldChemistry
Topicthermodynamics and calorimetric analyses
Canadian institutionsnot available
Fundersnot available
KeywordsIsothermal processNuclear engineeringRobustness (evolution)Control theory (sociology)ThermodynamicsChemical reactorThermalConsistency (knowledge bases)Continuous stirred-tank reactorTemperature controlHeat transferProcess engineeringMaterials scienceComputer scienceEngineeringChemistryPhysicsChemical engineeringControl (management)

Abstract

fetched live from OpenAlex

A simple and general procedure has been developed to determine the thermal behaviour of a reactor based on heat balance, PID temperature control, and jacket behaviour. Using only temperature heating/cooling ramps followed by isothermal stages, such a procedure was tested at laboratory and industrial scale, respectively in a 0.5 L Mettler‐Toledo RC1e and a 100 L industrial reactor. The obtained model was demonstrated to be in good accordance with the measurements. The consistency and robustness of the model were assessed by imposing an external heat profile based on an autocatalytic reaction system. The results have proven that even under perturbations, the retrieved parameters remain correct. In summary, the thermal behaviour of a chemical reactor can be defined through the reactor dynamic investigation procedure and can be used to identify the optimal operating conditions.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.298

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 science0.0010.000
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 head0.021
GPT teacher head0.205
Teacher spread0.185 · 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 teacher head, 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

Citations3
Published2016
Admission routes1
Has abstractyes

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