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Record W4408773259 · doi:10.11159/jffhmt.2025.010

Design and Numerical Evaluation of a Split-and-Recombined ‘(Y-H)<sub>αβ</sub>’ Micromixer

2025· article· en· W4408773259 on OpenAlex
Md Readul Mahmud, Farhad Alam

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

VenueJournal of Fluid Flow Heat and Mass Transfer · 2025
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMicromixerComputer scienceMathematicsMaterials scienceMicrofluidicsNanotechnology

Abstract

fetched live from OpenAlex

A novel split-and-recombined (SAR) micromixer namely '( -) ' composed with a 'Y' and a 'H' shaped mixing unit is proposed.The proposed '( -) ' micromixer is composed of four identical elements that are connected by angles and .The value of alpha () is varied from 0 to 90 to analyze the effect on mixing performance.Numerical analysis of fluid flow and mixing performance is conducted for miscible fluids, using Fluent 15 software for Reynolds numbers from 0.1 to 100.A well-known SAR mixer called 'H-C' is also analyzed for comparison.The numerical data shows that connecting angle has a strong effect on the SAR process; the efficiency increases from 65% to 98% when alpha () changes from 0 to 45 at = 100.The '( -) ' mixer shows notably lower pressure drop than the 'H-C' mixer irrespective of the value of connecting angle and Reynolds numbers.The proposed mixer has a significantly lower Mixing Energy Cost (MEC) compared to the '( -)' mixer.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.474

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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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