Numerical Simulation and Measurement of Droplet Velocity During High Velocity Arc Spraying
Bibliographic record
Abstract
Droplet velocity is one of main factors influencing the coating properties.Based on the theories of gas dynamics and multiphase fluid mechanics,the velocity problems of the atomization gas and droplet during high velocity arc spraying (HVAS) were modeled and solved by a numerical method,and experiments were carried out to measure the average velocity changes using Al and 3Cr13 wires.A good agreement between the numerical and experimental results was observed.The results showed that the exit velocity of atomization gas maintained the original velocity (approximately 690m/s) for a certain distance,then decreased with increasing distance from the nozzle,and this corresponded to the interaction between expansion wave and compression wave after the supersonic velocity gas passing the Laval tube.The in flight droplets experienced an acceleration deceleration velocity profile.The smaller droplets could reach higher maximum velocity at shorter flight distance.Beyond the flight distance where the maximum velocity was reached,the smaller droplets were decelerated rapidly due to their lower inertia force.On the other hand,the larger droplets did not exhibit a marked deceleration because of their high inertia force.And the droplet velocity was determined by Reynolds number.Simulation and measurement proved that the maximum velocities of Al and 3Cr13 droplets were greater than the velocity of sound during high velocity arc spraying.
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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".