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Record W1964210054 · doi:10.1115/icone16-48182

Pipe Diameter Effect on the Two-Phase Flow Separator for Removal of Liquid in Horizontal Pipes

2008· article· en· W1964210054 on OpenAlexafffund
Jo‐Shu Chang, P. C. Looy, Glenn Harvel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsOntario Tech UniversityMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSeparator (oil production)InletMaterials scienceStratified flowMistMechanicsTwo-phase flowSuperficial velocityFlow (mathematics)ThermodynamicsGeologyPhysicsMeteorologyTurbulence

Abstract

fetched live from OpenAlex

A pipe diameter effect on the two-phase flow liquid separation phenomenon by an annular type liquid separator is experimentally investigated, where this type of separator does not have any intrusive section inside the pipe. Past work demonstrated that a 2 cm diameter flow separator could effectively separate liquid from an annular flow regime without the use of intrusive devices in the main pipe. The current study examines the results of a 10 cm diameter pipe and compares to the 2 cm results previously observed. The separator consists of segments of Lucite tubing containing multiple holes in the separation sections. An experiment was conducted for a 10 cm inner diameter flow pipe and inlet two-phase flow regimes of stratified smooth, stratified wavy and annular mist are studied for superficial gas velocities from 0 to 8 m/s and superficial liquid velocities from 0 to 0.005 m/s. The number of holes, the pitch, and the shape of the holes in the wall of the separator were varied. The results show that the separation efficiencies were observed in the range of 80% to 100%, where the separation efficiency decreases with increasing superficial liquid velocity. Separation efficiencies of 100% were observed for stratified flow conditions. Separation efficiencies greater than 90% were usually observed for annular mist conditions. For stratified wavy conditions, separation efficiencies ranged from 80% to 100%. The separation efficiency does increase with the number of holes as expected. In comparison to the smaller 12 cm diameter test section, the results indicate the same trends, where the superficial velocities can be used as a first order scaling parameter for the separator.

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 score0.714
Threshold uncertainty score0.486

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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

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