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Record W2334920967 · doi:10.1021/ie301860u

Two-Phase Flow in Microchannels: The Case of Binary Mixtures

2012· article· en· W2334920967 on OpenAlexafffund
Shahnawaz Molla, Dmitry Eskin, Farshid Mostowfi

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2012
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsSchlumberger (Canada)
FundersAlberta Innovates
KeywordsPressure dropBubbleBubble pointTwo-phase flowSlug flowPorosityMechanicsPressure gradientThermodynamicsMaterials scienceFlow (mathematics)Multiphase flowChemistryComposite material

Abstract

fetched live from OpenAlex

Pressure measurements for segmented gas–liquid flows revealed a constant pressure gradient when the gas phase gradually expanded along the channel due to a substantial pressure drop (1500–1600 kPa). The segmented flow was formed by miscible gas and liquid hydrocarbons. A fully saturated liquid (pressurized liquid with dissolved gas) near the bubble point was introduced to the channel. Gas bubbles emerged from the liquid phase due to a reduction in local pressure when the fluid traveled through the channel. The gas phase expanded from nearly 0% up to 70% void fraction as the segmented flow accelerated along the channel. A novel, nonintrusive, in situ pressure measurement was used to accurately determine the pressure profile in the channel. To measure the void fraction and local velocity throughout the channel, a high-speed imaging technique was used. Finally, five different available models were used to describe the experimental results. The models considered the liberation of the gas phase from the saturated liquid as well as the subsequent variations in viscosity using a thermodynamic model.

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)0.000
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 score0.018
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.095
GPT teacher head0.360
Teacher spread0.265 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations6
Published2012
Admission routes2
Has abstractyes

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