Optimizing Maximum Ejecting Speed for a Gaussian Accelerator Cannon
Bibliographic record
Abstract
This paper aims to find the maximum speed of an ejected steel ball from a magnetic cannon and determine its relation to other setup parameters. A magnet induces dipole moments in steel balls inside a magnetic cannon and makes them stick together along a straight line. At the moment of collision, this attraction reduces the motion of the balls in other directions. This creates a more efficient momentum transfer along the series of steel balls and consequently, a higher speed for the ejected ball. The striking ball was released from a height of 6 cm above the rail and collided with two magnets, followed by three balls. The speed was calculated using the projectile range formula. The speed was found to be a damping non-monotonic function of the number of balls after the magnet. The effective parameters were studied and the maximum velocity obtained under experimental conditions was 295±5 cm/s. Figures were made using SolidWorks software and data were analyzed using Microsoft Excel 2016 and Gnuplot software.
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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".