Modal analysis and experimental research on a planetary reducer with small tooth number difference
Bibliographic record
Abstract
To comprehensively analyze the modal characteristics of the planetary reducer with small tooth number difference, based on shaft–bearing–gear–shell coupling, a finite element modal analysis model was established in ABAQUS. The teeth meshing sites were constrained by binding, bearings were simulated by spring elements, and then the natural frequencies and corresponding vibration modes of the reducer were obtained by applying the Lanczos method. Further, a hammering modal experiment on the reducer was carried out utilizing LMS Test.Lab. The modal data were analyzed using a modal identification method, and the modal frequencies and damping ratios were achieved, also the experimental modal parameters were validated according to the modal assurance criterion. The research results indicate that the lowest-order natural frequency of the reducer is 148.53 Hz, which is much higher than the rotation frequency of the eccentric shaft, double gear, and output gear. Also, the two-stage gear mesh frequencies are away from the natural frequencies, therefore the reducer under normal operating conditions will not cause coupling resonance. This research provides a theoretical basis and experimental reference for the dynamic structure optimization of the planetary reducer.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".