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Record W7108231504 · doi:10.1002/cjce.70193

Experimental investigation on the separation performance of air‐adjustable underflow hydrocyclone

2025· article· en· W7108231504 on OpenAlexvenueno aff

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsnot available
FundersShandong Provincial Postdoctoral Science FoundationKey Technology Research and Development Program of ShandongNational Natural Science Foundation of ChinaNational Key Research and Development Program of ChinaTexas Space Grant Consortium
KeywordsArithmetic underflowHydrocycloneCasingFiltration (mathematics)Separation processTube (container)Yield (engineering)

Abstract

fetched live from OpenAlex

Abstract An adjustable structure of underflow diameters in real‐time is urgently needed to cope with the variability of the operating conditions of hydrocyclones. In this study, an air‐adjustable underflow structure was proposed. It is composed of a cylindrical metal casing with a rubber tube pressed in the middle. An air chamber was formed between the rubber tube and the metal casing. By regulating the pressure of the injected air in air chamber, the size of the fluid channel can be adjusted in real‐time. The separation performance, including solid yield, separation precision, and classification efficiency, of the hydrocyclone with the air‐adjustable underflow and the hydrocyclone with a conventional underflow was compared. The results indicate that the hydrocyclone with the air‐adjustable underflow not only enables adjustability during the separation process but also maintains comparable performance with traditional hydrocyclones in key metrics. Specifically, the underflow split ratio and solid yield of the air‐adjustable underflow exceed those of the conventional design. Moreover, under low feed pressure, the air‐adjustable underflow achieves superior separation precision and classification efficiency compared to the conventional underflow. However, under higher feed pressures, slight deformation of the rubber tube of the adjustable underflow port may occur, which would reduce its efficiency. These findings offer valuable guidance for the on‐site adjustment of hydrocyclones.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.292

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 head0.008
GPT teacher head0.192
Teacher spread0.184 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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