Bibliographic record
Abstract
This paper analyzes Roladrive reducers and tests their mechanical efficiency. A Roladrive is a planetary gear train that employs rollers instead of cut gears and has multiple teeth (rollers) meshed while operating. The speed ratio is independent of the pitch diameter, but it is dependent on the number of the pin-teeth and rollers. Moreover, Roladrives can be designed for noninteger speed ratios easily. When the speed ratio is greater or equal to 1 and the basic ratio is near to 2, the theoretical mechanical efficiency reaches the optimal values. Mechanical efficiency of a Roladrive is greater than 0.9 as speed ratio is less or equal to 26. The theoretical mechanical efficiency can reach as high as 0.988 when the speed ratio is equal to 2. Experimental results show that the slopes of the theoretical and measured mechanical efficiencies are very close. In conclusion, this paper provides the foundation to use the theoretical mechanical efficiency to predict the real mechanical efficiency of Roladrives.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".