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Record W3109112707 · doi:10.1002/cjce.23972

Mass transfer around a compound drop in an extensional flow

2020· article· en· W3109112707 on OpenAlexvenueno aff
Moshe Favelukis

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2020
Typearticle
Languageen
FieldMaterials Science
TopicPickering emulsions and particle stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsPéclet numberDrop (telecommunication)Dimensionless quantityMass transferPressure dropMechanicsDrop impactFluid dynamicsThermodynamicsMaterials scienceSpinning drop methodChemistryPhysicsWetting

Abstract

fetched live from OpenAlex

Abstract Mass transfer around a spherical compound drop in an extensional creeping flow and at large Peclet numbers is theoretically studied. The compound drop, embedded in an external fluid (fluid 1), is composed from a spherical inner drop (fluid 3), which is engulfed by a spherical fluid shell (fluid 2). The study is governed by four dimensionless parameters: two viscosity ratios, shell over external fluid ( λ 21 ) and internal drop over shell ( λ 32 ); the radii ratio, inner over outer ( κ ); and the large Peclet number ( Pe ). For very fast mobile interfaces, the rate of mass transfer is proportional to Pe 1/2 , it increases as λ 21 or κ decrease, and in the limit of a very small internal drop ( κ → 0) it reduces to the case of a single drop. For very slow mobile interfaces or immobile interfaces, the rate of mass transfer is proportional to Pe 1/3 , it increases as λ 21 or κ increase, and in the limit of a very thin shell ( κ → 1) it behaves like a single solid particle. For both interface speed cases, the effect of the other viscosity ratio ( λ 32 ) on the external mass transfer is practically negligible.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.202

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 head0.022
GPT teacher head0.212
Teacher spread0.190 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

Explore more

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