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Record W3013372890 · doi:10.1002/9783527699483.ch22

Three‐Phase (Gas–Liquid–Solid) Fluidization

2020· other· en· W3013372890 on OpenAlexaff
Dominic Pjontek, Adam Donaldson, Arturo Macchi

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsUniversity of OttawaDalhousie UniversityWestern University
Fundersnot available
KeywordsFluidizationFreeboardFluidized bedMass transferPlenum spaceDistributorMechanicsFlow (mathematics)Fluid dynamicsPhase (matter)Two-phase flowMaterials scienceThermodynamicsChemistryPhysics

Abstract

fetched live from OpenAlex

This chapter describes systems where liquid plays a major role, in addition to gas, in driving the flow. It summarizes the operating modes, applications, and general design and modelling of gas–liquid–solid fluidized beds. The chapter illustrates the application of transport phenomena models to characterize reactor performance for the mode of operation where both gas and liquid flow upwards and liquid is in the continuous wetting phase. It presents a worked example for a three-phase fluidized bed hydrocracker and provides mathematical expressions for the fluid dynamic and interphase mass transport for the bulk fluidized bed region. The performance of three-phase fluidized bed systems can be successfully modelled by understanding the regions of interest (plenum, distributor, bulk bed, and freeboard), relevant scales (time, length), and impact of physical properties and operating conditions on fluid dynamics (incipient fluidization, flow regimes, phase holdups), transport correlations (heat and mass transfer), and reaction rates.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.268
Threshold uncertainty score1.000

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)0.0100.002

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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2020
Admission routes1
Has abstractyes

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