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Record W2806231258 · doi:10.11159/ffhmt18.166

Multiphase Airlift Pumps for Water circulation in Fish Farms

2018· article· en· W2806231258 on OpenAlexafffundvenueabout
Shaker S. Bukhari, Joshua Rosettani, Wael Ahmed

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring Technologies
Canadian institutionsUniversity of Guelph
FundersOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsAirliftCirculation (fluid dynamics)Environmental scienceFish <Actinopterygii>Water circulationMarine engineeringFisheryPetroleum engineeringEngineeringMechanical engineeringChemistryBiologyAerospace engineeringBioreactor

Abstract

fetched live from OpenAlex

The potential use of an airlift pump to circulate and oxygenate water in an aquaculture facility is experimentally investigated. Currently, two systems are used in fish farms to perform the same function. These include air-stones for oxygenation and centrifugal or submersible pumps for water circulation. Airlift pumps operating under multiphase flow condition are proposed in order to replace these two systems with a single system. This solution offers a better energy efficient system while achieving ideal water quality for fish production. Airlift pump was designed and tested in a fish farm facility located at Aberfoyle, Ontario. The data for local water velocities and the required air injection flow rates for 4-units airlift pump arrangement was collected. The pump performance data for the dual injection airlift was compared to the airlift pump model developed for slug flow pattern. These tests were used to determine the appropriate sizing of the airlift pumps required for the water circulation in the raceways.

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 score0.023
Threshold uncertainty score0.354

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 head0.039
GPT teacher head0.264
Teacher spread0.225 · 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

Citations1
Published2018
Admission routes4
Has abstractyes

Explore more

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