An improvement in heat transfer for rotating flow of hybrid nanofluid: a numerical study
Bibliographic record
Abstract
The present study examines the comparison of heat transfer properties of magnetohydrodynamic (MHD) rotating traditional nanofluid with that of developing hybrid nanofluid. A new kind of standard fluid, “hybrid nanofluid” is used to improve heat transfer in boundary layer flow. Silver (Ag) and copper oxide (CuO) nano-size particles are considered to constitute our desired hybrid nanofluid. The rotation of nanofluid is accomplished about the vertical axis so that “angular velocity”, ω ∗ , is constant. The system of nonlinear and coupled ordinary differential equations is handled using numerical approach BVP-4C with shooting procedure. From the present research, it is noticed that, even in the presence of magnetic field, the rate of heat transfer of hybrid nanofluid (Ag–CuO/water) is higher than that of ordinary nanofluid (CuO/water). In hybrid nanofluid, the required rate of heat transfer can be accomplished by picking distinctive and suitable nanoparticle extents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".