Vibration suppression using two-terminal flywheel. Part I: Modeling and characterization
Bibliographic record
Abstract
There is only one manipulation terminal for a flywheel in terms of the topology, which remains a potential bottleneck for its application in mechanical systems. This paper presents a two-terminal manipulation approach for the flywheel using the inverse screw transmission which yields the relative translation between two terminals resulting from the rotation of the flywheel. A dynamics model is accordingly put forward to describe both an ideal two-terminal mass and a non-ideal case including factors such as structure mass, friction, backlash and elastic effect. A prototype device is manufactured and subsequently characterized using a vibration rig to identify the model parameters. The results show that, in the commonly used frequency band, the effect of non-ideal factors is insignificant and thus the device can be regarded as an ideal two-terminal mass. However, the impact of the non-ideal factors should be taken into account in the other frequency ranges. The proposed two-terminal approach releases the ground terminal of the flywheel and has a great application potential in vibration control.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".