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Record W2012318711 · doi:10.1002/aic.10050

Gas‐liquid displacement method for estimating membrane pore‐size distributions

2004· article· en· W2012318711 on OpenAlexafffund
Pinghai Shao, Robert Y. M. Huang, Xianshe Feng, William A. Anderson

Bibliographic record

VenueAIChE Journal · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsKnudsen numberKnudsen diffusionMicrofiltrationHagen–Poiseuille equationMembraneMechanicsDisplacement (psychology)ThermodynamicsChemistryFlow (mathematics)Materials sciencePhysics

Abstract

fetched live from OpenAlex

Abstract A gas‐liquid displacement method is investigated for characterizing pore‐size distributions of microfiltration (MF) membranes. The complexities of using gas as displacing fluid are analyzed in terms of the gas transport regimes involved, showing that slip flow features gas transport in MF membranes, and Knudsen diffusion can be effectively suppressed by an appropriate selection of the pore‐filling liquid. A universal mathematical model for evaluating pore‐size distributions is developed based on the fundamental equation governing slip flow. An approximate model is also presented where only the Hagen‐Poiseuille regime is considered. The pore‐size distributions of two MF membranes are evaluated using the universal and the approximate models, respectively. It is found that the approximate model overestimates the probability of the larger pore (relative to the peak pore) and underestimates the probability of the smaller pore. It is recommended that the universal model be used if no priori analyses on gas transport regimes is carried out. 2004 American Institute of Chemical Engineers AIChE J, 50:557–565, 2004)

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.205
Threshold uncertainty score1.000

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)0.0010.000

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 head0.018
GPT teacher head0.311
Teacher spread0.293 · 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.

Study designBench or experimental
Domainnot available
GenreMethods

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

Citations23
Published2004
Admission routes2
Has abstractyes

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