Numerical Simulation of Water as Base Fluid Dispersed by Al2O3 Aluminum Oxide Nano-Sized Solid Particles with Various Concentrations
Bibliographic record
Abstract
Curves of pressure, lines of current, speed of fluid, fields and diagrams of kinetic energy, and plots of viscosity through a H2O/Al2O3 nanofluid-heat exchanger with recirculation promoters are studied by using a computational approach and a two-dimensional algorithm. The simulation used four nanofluid fractions, i.e. ϕ = 0.5, 1, 2 and 4 percent, with four flow rates, i.e. Re = 5, 10, 15 and 20 (× 103). Both the discontinuous-type deflectors and the detached-model bars are considered to reinforce the nanofluid field structure. The discontinuous-situation of these deflectors allows reducing the pressure on its front-corner by passing the fluid between their internal surfaces. In addition, the field is detached from the front-sharp-edge, forcing the creation of recycling-rings on their back-areas. While, the presence of the detached-bar model in both the top and the lower stations of the exchanger allows an improvement in the flow disturbance across the gaps through their interior-surfaces, and the formation of new recycling-cells near their right-sides. These vortices constitute opposite-currents where their strength increases with increasing nanofluid concentration and Reynolds values.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".