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Record W1992443053 · doi:10.5539/mas.v3n1p144

Study of PVDF Tubular Ultrafiltration Membrane for Separating Oil/water Emulsion and Effect of Cleaning Method on Membrane

2008· article· en· W1992443053 on OpenAlexvenueno aff
Huazhang Zhu, Yujie Zhu

Bibliographic record

VenueModern Applied Science · 2008
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsUltrafiltration (renal)EmulsionMembranePermeationChromatographyVolumetric flow rateFlux (metallurgy)Materials scienceChemical engineeringChemistry

Abstract

fetched live from OpenAlex

Oil/water emulsion is treated with polyvinylidenefluoride(PVDF) tubular ultrafiltration membrane. The flux of PVDF tubular ultrafiltration membrane is tested by varying the operation pressure(from 0.06Mpa to 0.25Mpa), membrane surface velocity of flow(from 1.47m/s to 3.69m/s) and system running time (from 1h to 20h). The average membrane flux is up to 108.2 L/(m2.h) in proper experiment conditions. Then some cleaning methods are studied and the chemical cleaning has the best effect, the flux restoration rate is more than 92%. Oil concentration in permeate water was less than 10 mg/L. The rejection rate of oil was more than 90%, The cleaning periods were 24h. Using PVDF tubular ultrafiltration membrane to treat oil/water emulsion is a feasible and economical method.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.525

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 head0.009
GPT teacher head0.245
Teacher spread0.237 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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