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Record W2033943225 · doi:10.1002/ceat.201000164

Mass Transfer Behavior of Annular Ducts under Conditions with Superimposed Pulsating Flow

2011· article· en· W2033943225 on OpenAlex
M. M. Zaki, I. Nirdosh, G.H. Sedahmed

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

VenueChemical Engineering & Technology · 2011
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsLakehead UniversitySAIT Polytechnic
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLaminar flowLaminar flow reactorMass transferMechanicsTurbulenceMass flow meterVolumetric flow rateFlow (mathematics)Flow coefficientOpen-channel flowIsothermal flowAnnulus (botany)Residence time (fluid dynamics)Mass flowMaterials scienceChemistryThermodynamicsPhysicsGeology

Abstract

fetched live from OpenAlex

Abstract Rates of mass transfer were measured at the inner surface of an annular duct by an electrochemical technique under developing flow conditions with superimposed pulsating flow. Variables like the frequency and amplitude of the pulsating flow, steady flow velocity, and annulus height were studied. The pulsating flow was found to enhance the rate of mass transfer by a factor ranging from 1.2 to 5.5 compared to the steady laminar flow value. The superimposed pulsating flow had only a minor effect on the rate of mass transfer under steady turbulent flow conditions. The pulsating flow reactor offers the advantage over steady flow annular reactor in that it can be operated at low flow rates to increase the residence time. The high residence time and high rate of mass transfer resulting from pulsation together increase the degree of conversion per pass as well as the reactor productivity.

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)0.000
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 score0.091
Threshold uncertainty score0.820

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)0.0000.000

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 head0.007
GPT teacher head0.169
Teacher spread0.163 · 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