Influence of surface elliptical dent defects on thermal elastohydrodynamic lubrication performance in ball-tripod universal joints
Bibliographic record
Abstract
Herein, the effects of elliptical dent defects on the properties of oil films formed in point-contact thermal elastohydrodynamic lubrication were examined through numerical modelling and ANSYS-based finite element analysis. Peak pressure and temperature of an oil film increase steeply with increasing depth on both sides of a dented edge, resulting in oil thickness variations across the dent and high stress concentration along the edge. Furthermore, peak pressure and temperature increase with the aspect ratio of elliptical dents, accompanied by shifts in subsurface stress directionality. Lubrication performance degrades with increasing dent direction angle and is the lowest when the dent’s long axis aligns with the entrainment direction. These findings highlight the detrimental effects of surface dents on joint lubrication performance.
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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 | 0.001 |
| 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".