Analytical study about effects of lubrication on dynamic characteristics of defect-ball ceramic bearing
Bibliographic record
Abstract
Due to the self-lubrication and high stiffness, ceramic bearings are widely applied in mechanical systems. However, under some complex working conditions, the defection and uncertain lubrication on the ball’s surface can be complex. Insufficient oil may increase friction and shorten defect bearing’s life. In this paper, the self-lubrication characteristic of defect-ball ceramic bearing investigates the lubrication performance. Firstly, a novel lubrication model of ceramic bearing is established through the Hamrock–Dowson theory. Then, the Newton–Raphson method is employed to analyze the dynamic of defect bearing. Finally, the effect of oil film thickness on the dynamic characteristic of ball-defect ceramic bearing is explored systematically. A vibrometer and the temperature sensors are used in the experiment to validated the accuracy of model. The vibration of defect-ball bearing is highly accord with the experiment, with an error less than 5%. The results indicate that enlarging the volume fraction of oil appropriately improve the effect of lubrication on dynamic of defect bearing. It will decrease the vibration of defect-ball bearing in high-speed condition. Research results have a significance guidance about the oil supply amount on the defect-ball ceramic bearing under a certain condition.
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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 | 0.001 |
| 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".