NEW APPROACH BASED ON ANALYTIC - NUMERICAL METHOD FOR CALCULATING THE SLIDING DISTANCE OF TEETH PROFILE POINTS DURING GEARS MESHING
Bibliographic record
Abstract
New approach based on analytic-numerical method for calculating the sliding distance of teeth profile points during gears meshing is proposed in this study. In our approach we have shown that the sliding distance of teeth profile points is due to the Hertz deformation. Our method of calculation consist of following a point on the profile by its radius during the contact. The analytical approach has been successfully implemented in Matlab code and solved numerically. The results show that the sliding distance is not null at pitch point. Compared with the common used method, the results are very close, except at the neighborhoods of the pitch point and the points of the head and the foot, where the deviations become greater. The deviations for normal points vary between 0.16% and 6.52% for simulated meshing conditions.
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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 | 0.001 | 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 | 0.001 | 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) | 0.002 | 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 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".