Bibliographic record
Abstract
The traditional studies [1, 3] of bearing deflection and load cannot consider the interaction of bearing deflections at radial, axial and tilting directions. Swashplate bearings, rotor bearings, and etc. are usually of large size and mounted on flexible bearing housing, it makes the housing and bearing deform in all directions. The interaction between housing and bearing races is no longer negligible. On the other hand, modeling contact status between rolling elements and bearing race way in the housing-bearing assembly finite element model is too complicated and not practical for engineering analyses. In this study, multi-scale finite element model is developed for the system with rolling element bearings to investigate the interaction of housing and bearing race deformations. Rolling elements are simplified as spring element to make the system level finite element model executable. Hertzian contact theory is employed to determine roller compression non-linear stiffness. Clearance and preload can be considered in the stiffness curve. The result provides correct stiffness and load distribution for housing design. FEA submodel is used for local detailed roller contact analysis. It provides detailed bearing contact analysis of interested individual roller for detailed bearing design.
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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".