Investigation of impingement heat transfer for air‐sand mixture flow
Bibliographic record
Abstract
Abstract Heat transfer between a heated flat plate and normal impinging gas‐solid two‐phase jet flow was investigated. A single jet from a nozzle of 10 mm diameter at nozzle‐to‐plate distance/nozzle diameter ratio in the range of 2–8 was used. Natural sand particles with average diameters of 220, 350, and 550 μm were used as a solid phase. The effects of particle size and loading ratio (mass of sand/mass of air) at different jet velocities on impingement cooling characteristics of the flat plate are investigated. The numerical simulations were performed with ANSYS Fluent 14.7 for a steady, three‐dimensional, incompressible turbulent flow using Eulerian simulation for the gas phase and Lagrangian simulation for sand particles. The experimental results show that the existence of sand particles decreases the Nusselt number compared to air jet flow. The single and two‐phase flow experimental results are close to predictions when the particle reflection option is used in the simulation. The discrepancy in local values near the stagnation point can be attributed to the complex nature of the two‐phase flow at the stagnation point that includes reflection of sand particles at different angles.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".