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Record W4366769617 · doi:10.1061/jhend8.hyeng-13538

Air Pocket Removal during Siphon Priming

2023· article· en· W4366769617 on OpenAlexaff
Yaohui Chen, Jiangang Feng, David Z. Zhu, Hui Xu, Shangtuo Qian

Bibliographic record

VenueJournal of Hydraulic Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSiphon (mollusc)Air entrainmentEntrainment (biomusicology)MechanicsPriming (agriculture)Compressed airAirflowMaterials scienceEngineeringPhysicsMechanical engineeringAcoustics

Abstract

fetched live from OpenAlex

Siphon frequently is employed in pump stations as a pump outlet with a convenient flow cutoff mode for pump shutdown, and it usually works with axial-flow pumps with a large discharge and low head. After the pump starts, the initial air pocket in the siphon should be removed quickly from the siphon to generate a primed siphon flow, a process called priming. In this study, experiments were conducted to investigate the characteristics of air pocket removal during priming, in which two stages can be defined: air-compression and air-entrainment stages. During the air-compression stage, the air is compressed by the pumped water, and the increased air pressure can break the downstream water seal and expel some air out of the siphon. During the air-entrainment stage, the air is removed mainly in the form of bubbly flow. The air-entrainment stage can be divided further into two states: at a small water discharge, the priming process stays in State 1, in which the air pocket always remained in the siphon hump; and at a large discharge, the residual air pocket can be entirely swept out of the siphon in State 2, finally generating the primed siphon flow. The air-compression stage accounts for less than 5% of the priming time but discharges 20%–60% of the initial air. For the bubbly flow during the air-entrainment stage, the bubble diameters follow a log-normal distribution with the median of about 2.3 mm. The critical flow rate for generating primed siphon flow was predicted based on the bubble clearing velocity and force and on the motion analysis of the bubble, which can be a rough value for the calculation of the critical flow rate. The prediction indicates that the critical flow rate should increase with the descending angle and cross-section area of siphon.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.191
Teacher spread0.186 · 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.

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

Citations3
Published2023
Admission routes1
Has abstractyes

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