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Record W2020788861 · doi:10.1021/ie801562y

Characteristics of a Confined Impinging Jet Reactor: Energy Dissipation, Homogeneous and Heterogeneous Reaction Products, and Effect of Unequal Flow

2009· article· en· W2020788861 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2009
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicromixingDissipationMixing (physics)MechanicsWork (physics)Jet (fluid)Flow (mathematics)Volumetric flow rateRange (aeronautics)HomogeneousThermodynamicsReaction rateParticle (ecology)ChemistryYield (engineering)Materials scienceAnalytical Chemistry (journal)ChromatographyPhysicsCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

The confined impinging jet reactor (CIJR) has attracted wide interest in the past few years because of the efficient micromixing that it offers. In this work, the CIJR is characterized over a wide range of mixing conditions, using three measures of performance: estimates of the energy dissipation rate, micromixing efficiency based on the yield of a homogeneous reaction, and particle size resulting from a heterogeneous precipitation reaction. The energy dissipation results showed very good agreement between four methods, with values up to 100 times greater than those observed in stirred tanks. The reactions showed a higher sensitivity to mixing conditions at higher concentrations, with less effect of mixing at high flow rates. The operation of the CIJR was very robust to changes in flow rate, with stable performance for up to a 30% difference in the inlet flows.

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)0.001
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 score0.149
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.019
GPT teacher head0.254
Teacher spread0.235 · 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