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Record W2566021572 · doi:10.1515/ijcre-2015-0095

Simulation of the Selective Hydrogenation of C <sub>3</sub> -Cut in the Liquid Phase

2016· article· en· W2566021572 on OpenAlexaff
Gaetan Mary, Amin Esmaeili, Jamal Chaouki

Bibliographic record

VenueInternational Journal of Chemical Reactor Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicCatalysis and Hydrodesulfurization Studies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsCatalysisWork (physics)Liquid phasePhase (matter)Materials scienceChemical engineeringKinetic energyThermodynamicsProcess engineeringChemistryOrganic chemistryEngineeringPhysics

Abstract

fetched live from OpenAlex

Abstract In this work, the selective hydrogenation of C 3 -cut in the liquid phase has been investigated. A realistic model has been developed to simulate the selective transformation of methylacetylene (MA) and propadiene (PD) into propylene in an industrial-scale reactor. The reaction rates have been determined for the gas phase hydrogenation process and adapted for the liquid phase by considering several changes including the catalyst activity and the concentration of reactive components. In the last part of this work, a three-phase hydrodynamic model was developed and the kinetic and hydrodynamic models were then combined in order to achieve the global reactor model. In addition, the results obtained from the model were compared to those from an industrial reactor. It was found that there is a good agreement between the simulation predictions and the output of the real industrial reactor.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.186

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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