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Record W2997111421 · doi:10.1080/01496395.2019.1706569

Computational fluid dynamics and experimental investigations on liquid–liquid mass transfer in T-type microchannels with different mixing channel barrier shapes

2019· article· en· W2997111421 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSeparation Science and Technology · 2019
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryMicrochannelConical surfaceMass transferMixing (physics)Computational fluid dynamicsMechanicsFluid dynamicsChannel (broadcasting)MicromixerMicromixingAnalytical Chemistry (journal)ChromatographyComposite materialMaterials science

Abstract

fetched live from OpenAlex

Micromixers with different shapes of barriers including cylindrical, semi-cylindrical, conical, and semi-conical were fabricated using 3D printer. Water (Alizarin Red S) + Aliquat 336 + 1-octanol system was chosen for analyzing mass transfer. Computational fluid dynamics analysis showed that the improvement of flow patterns in the case of cylindrical barrier was higher than that in other micromixers. The extraction efficiency using cylindrical barriers was 23.7–83.7% higher than that of the plain one. Performance ratio criterion was used for design selection. The highest performance ratios with the values of 1.04–1.65 were obtained in the microchannel with six conical barriers.

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)0.000
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 score0.079
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.010
GPT teacher head0.254
Teacher spread0.243 · 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