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Record W2962656655 · doi:10.2495/mpf190151

EXPERIMENTAL INVESTIGATION OF PRESSURE AND VOID FRACTION CHANGES FOR TWO-PHASE FLOW THROUGH FLOW-RESTRICTING ORIFICES

2019· article· en· W2962656655 on OpenAlexafffund
Naief Almalki, Wael H. Ahmed

Bibliographic record

VenueWIT transactions on engineering sciences · 2019
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBody orificePressure dropMechanicsMaterials scienceFlow coefficientTwo-phase flowFlow conditioningPipingLocal VoidPorosityVolumetric flow rateVoid (composites)Orifice plateTurbulenceFlow (mathematics)ThermodynamicsComposite materialPhysicsMechanical engineeringEngineeringReynolds number

Abstract

fetched live from OpenAlex

In this work, the change of pressure and void fraction of adiabatic air-water two-phase flow through orifices are experimentally investigated.Horizontal pipes with an internal diameter of 25.4 mm with multiple orifices with area ratios of 0.062, 0.14, 0.25 and 0.54 are considered.Both pressure and void fraction distributions upstream and downstream of the orifice are obtained for intermittent flow patterns and are compared with a straight pipe without the restriction for gas superficial velocity of 0.657 m/s and liquid superficial velocity of 0.523 m/s.The flow redistribution across the orifices is also recorded using a high-speed imaging camera at a frame rate of up to 3 kHz.The effect of the area ratio on the local pressure and void fraction upstream and downstream of the restriction is investigated.The results show that the fully developed void fraction upstream of the orifice increased with the increase in the pressure-drop across the orifice.Far from the orifice, the values of the average pressure gradient and the time average void fraction of the piping with orifices approached the fully developed values similar to the case of the straight pipe without restriction.The flow pattern changes across the orifice are found to significantly depend on the area ratio.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.024
GPT teacher head0.254
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2019
Admission routes2
Has abstractyes

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