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Record W2997645269 · doi:10.1021/acs.iecr.9b04496

Handling of Solids and Flow Characterization in a Baffleless Oscillatory Flow Coil Reactor

2019· article· en· W2997645269 on OpenAlexafffund
Brendon J. Doyle, Bernhard Gutmann, Michael Bittel, Thierry Hubler, Arturo Macchi, Dominique M. Roberge

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2019
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsContinuous stirred-tank reactorResidence time (fluid dynamics)Flow (mathematics)MechanicsCloggingResidence time distributionDissipationLaminar flow reactorParticle (ecology)Oscillation (cell signaling)ChemistryMaterials scienceVolumetric flow ratePrecipitationChemical engineeringThermodynamicsOpen-channel flowPhysicsPhysical chemistry

Abstract

fetched live from OpenAlex

The solid handling ability and flow patterns of a baffleless oscillatory flow coil reactor are investigated and characterized. Previous works in oscillatory flow have been generally conducted in straight channels with various baffled geometries. Solid handling capabilities of the reactor are examined through two reactions, namely, a precipitation reaction and a phase transfer catalysis reaction. In the first reaction, the reactor geometry proved capable of continuously handling liquid–solid suspensions of 5.8 wt % for 5 h and up to 7.9 wt % for 2 h. No signs of clogging were observed during these tests, and the maximum run time of the reactor is currently unknown. However, when gas was formed in the second reaction, rapid system clogging is observed due to a 10-fold decrease in the energy dissipation rate as a result of the pulsation dampening effect by the gas. A broadening of residence time distributions with oscillation intensity is observed and, accordingly, is accompanied by a broadening of solid product particle size distributions. Lower pulsation amplitude and frequencies were capable of keeping solids suspended in the precipitation reaction and may therefore be employed to achieve a tighter residence time and particle size distributions.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.277
Teacher spread0.239 · 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

Citations37
Published2019
Admission routes2
Has abstractyes

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