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Record W1987214522 · doi:10.1002/cjce.22163

Simulation and evaluation of the performance and feasibility of two‐stage industrial hydrocyclones for CaSO<sub>4</sub> removal in potassium chloride production

2015· article· en· W1987214522 on OpenAlex
Yanxia Xu, Xingfu Song, Ze Sun, Guimin Lu, Ping Li, Jianguo Yu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsnot available
FundersChina Postdoctoral Science Foundation
KeywordsHydrocycloneComputational fluid dynamicsSeparator (oil production)Process engineeringPotassiumStage (stratigraphy)Environmental sciencePetroleum engineeringChemistryWaste managementEngineeringMaterials scienceMetallurgyMechanicsThermodynamicsPhysics

Abstract

fetched live from OpenAlex

The hydrocyclone separator system, a solid/liquid separation method, has been widely used in chemical, mineral, environmental, and power processing. In this study, two‐stage industrial hydrocyclones were used to separate CaSO 4 impurity from the crude carnallite in KCl production by computational fluid dynamics (CFD). The CFD technique was a useful tool to evaluate the performance and feasibility of the two‐stage industrial hydrocyclones with diameters larger than 400 mm. The simulated results were validated by industrial‐scale experiments. The CFD results showed that 38.2 wt. % CaSO 4 could be removed by the two‐stage industrial hydrocyclone. The feasibility and effectiveness of the hydrocyclone separation system were finally evaluated by the simulation.

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.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.042
GPT teacher head0.256
Teacher spread0.214 · 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