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Record W2749238094 · doi:10.11159/ffhmt17.132

Mass Transfer Prediction of Gas-Liquid Contacting in a Rotating Spiral Channel

2017· article· en· W2749238094 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2017
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsnot available
FundersHigher Committee for Education Development in Iraq
KeywordsSpiral (railway)Mass transferMechanicsChannel (broadcasting)Materials sciencePetroleum engineeringMechanical engineeringComputer sciencePhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Numerical solution of the governing equations for mass, momentum and species can be used to predict mass transfer in a rotating spiral device. The case of a dilute solute transferring in counter-current gas-liquid flow is considered. Computations in a twodimensional section of the flow with an existing model for interface shape are used to determine the velocity and solute species fields in each phase. The prediction is assessed along with that of an existing analytical solution for infinite channel width by comparison with some recent mass transfer coefficient data for acetone desorbing from water into air over a range of water flow rates. The computation reproduces the measured results well over the full range of the data. At higher liquid flow rates it is found that secondary motion in each phase generated by Coriolis acceleration acting on the gas phase, causes a doubling of mass transfer coefficient.

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 score0.164
Threshold uncertainty score0.798

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 head0.032
GPT teacher head0.243
Teacher spread0.211 · 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