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Record W2061603184 · doi:10.1115/imece2012-87727

A Numerical Investigation on a Flow of a Viscous Oil Drop in Water Inside a Small Diameter Capillary Tube

2012· article· en· W2061603184 on OpenAlexaff
Harsh Joshi, Liming Dai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPressure dropCapillary actionMechanicsMaterials scienceSpinning drop methodDrop (telecommunication)Computational fluid dynamicsCapillary pressureWettingComputer simulationTube (container)Two-phase flowFlow (mathematics)Petroleum engineeringComposite materialGeologyMechanical engineeringEngineeringPhysicsPorous medium

Abstract

fetched live from OpenAlex

This paper reports the findings of a two dimensional numerical CFD simulation of a two phase immiscible flow. The results of the simulations are validated by use of theoretical equations and comparisons to published experimental results. From the computational results, we show how the water film thickness surrounding the oil drop changes with capillary number and how the transient pressure profile changes with velocity. It is shown how a numerical simulation can provide accurate details of a flow that is hard to simulate and visualize in an experiment. We provide a pressure Vs Time data obtained from the simulation which shows the wetting film of water reduces the required pressure drop. It is seen that a presence of a water film makes it easier for the oil drop to move under a lower pressure. This study will be helpful in comparing the vibrational effect on oil drop mobilization because it is expected the pressure required after vibrational stimulation will fall between the maximum pressure without water film and minimum pressure with water film.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.349

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 head0.014
GPT teacher head0.184
Teacher spread0.170 · 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 designSimulation or modeling
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

Citations1
Published2012
Admission routes1
Has abstractyes

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