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Record W1964008173 · doi:10.1615/jpormedia.v3.i2.10

Gas-Liquid Countercurrent Flows Through Packed Towers

2000· article· en· W1964008173 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.

Bibliographic record

VenueJournal of Porous Media · 2000
Typearticle
Languageen
FieldEngineering
TopicHeat and Mass Transfer in Porous Media
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCountercurrent exchangePacked bedMechanicsPorous mediumVolume (thermodynamics)Flow (mathematics)PorosityTwo-phase flowMaterials scienceThermodynamicsMultiphase flowLiquid phasePressure dropChromatographyChemistryPhysics

Abstract

fetched live from OpenAlex

The volume-averaged governing equations for multiphase flows in porous media proposed by Liu (1999a) are applied to the study of gas-liquid countercurrent flows in packed towers. Model parameters are proposed for two-phase flows by extending the model of saturated single-phase flows in porous media. Numerical solutions are obtained for developed axisymmetrical flows in packed columns. Flow velocity profiles of both phases, pressure drops, and liquid holdup distributions are obtained. All of the predictions agree well with published experimental results. It is thus demonstrated that the volume-averaged governing equations are satisfactory for describing two-phase flows in packed columns.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.231
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