Study on the influence of 3D modification on dynamic characteristics of a herringbone gear transmission system
Bibliographic record
Abstract
The 3D modification is an advanced technology that comprehensively considers tooth profile modification and axial modification to reduce vibration and noise. Therefore, this paper combines 3D modification technology with contact characteristics and dynamic properties to study the influence of 3D modification on the dynamic performance of a herringbone gear system. This paper employs a parabolic tooth profile instead of the cutter's straight tooth profile to achieve 3D-modified tooth surface and deduces the tooth surface equation. Then, tooth contact analysis (TCA) and loaded tooth contact analysis (LTCA) are used to simulate the meshing process of teeth. And the dynamic model of the herringbone gear system under three internal excitations is established. Finally, 3D modification, TCA, LTCA technology, and gear dynamic characteristics are combined to study the influence of 3D modification on the system's dynamic behavior. The results show that, compared with tooth profile modification and axial modification, the 3D modification can effectively compensate for the influence of errors on the gear system and have a very good damping effect. The relative vibration displacements on the left and right meshing lines of the gear pair are reduced by 47.60% and 51.20%, and the root mean square values are decreased by 30.50% and 36.10% before and after modification, respectively.
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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".