The Wear Characteristics of Wet Clutch in the DCT Vehicle During the Launching Process
Bibliographic record
Abstract
In order to investigate the wear characteristics of wet clutch during the vehicle launching process, the experimental investigations and the dynamic analysis are conducted in the study. Firstly, the wet pin-on-disc experiment is designed to explore the wear behaviours of the wet friction pair. Based on the experimental results under various conditions, the wear amount is measured by the multielement oil analysis spectrometer and the corresponding wear coefficient is deduced according to the Archard laws. After that, the dynamic model of the Double Clutch Transmission (DCT) vehicle is established to study the wear condition of the wet clutch during the vehicle launching process. The experimental and simulation results indicate that, the increase of the slipping speed, the contact pressure and the temperature leads to the increase of the wear amount, while, for the wear coefficient, the slipping speed has little influence. During the vehicle launching process, the driver's gentle operation with light vehicle load will reduce the wear amount of the wet clutch and prolong its service life.
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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 | 0.001 | 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".