A CONTACT RATIO AND INTERFERENCE-PROOF CONDITIONS FOR A SKEW LINE GEAR MECHANISM
Bibliographic record
Abstract
Line Gear (LG) is an innovative gear which is mainly applicable to micro mechanical systems proposed by Yangzhi Chen. A Skew Line Gear Mechanism (SLGM) is one pair of LGs transmitting force and motion between two skewed axes. In this study, a design formula of a contact ratio for a SLGM is deduced, and eight influencing parameters are found. The influences of six parameters on a contact ratio for a SLGM with non-vertical skewed axes are studied by using of two coordinate parameters given definitely. The principal influencing parameters on a contact ratio for a SLGM are obtained. Moreover, two types of interferences between the driving and the driven line teeth are discussed, then these geometric parameter formulas for the interference-proof conditions are deduced, and design formulas of a maximum line tooth number for the driving line gear are derived for different interference-proof 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 | 0.000 | 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".