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Record W2513942139 · doi:10.5220/0005995102830290

Design and Numerical Characterization of a First Stage of a High Capacity Multistage Centrifugal Pump

2016· article· en· W2513942139 on OpenAlexaff
Nicolas La Roche-Carrier, Guyh Dituba Ngoma, Walid Ghié

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCavitation Phenomena in Pumps
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsCentrifugal pumpImpellerDiffuser (optics)HorsepowerSpecific speedMechanicsFlow (mathematics)EngineeringInletMechanical engineeringComputer simulationRotodynamic pumpVariable displacement pumpProgressive cavity pumpSimulationRadial piston pumpAutomotive engineeringPhysicsOptics

Abstract

fetched live from OpenAlex

In this paper, a numerical characterization of a first stage of a high capacity multistage centrifugal pump was performed for very high flow rates. A particular emphasis was placed on the diffuser design procedure. For this purpose, the equations of the continuity and the Navier-Stokes accounting for the boundary conditions were used by mean of ANSYS-CFX code to describe and to simulate the complex liquid flow in the multistage centrifugal pump. In order to identify the key parameters of the diffuser that can improve the pump stage performances, the effects of the inlet height of the diffuser vanes, the number of the diffuser vanes, the number of the diffuser return vanes, and the gap between the impeller and the diffuser on the pump stage head, brake horsepower and efficiency were analyzed. The validation of the developed model of a first pump stage was done comparing results of numerical simulations and experimental results obtained from a pump manufacturer.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.308

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 head0.195
Teacher spread0.181 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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