The correlation research between ground contact characteristics and rolling resistance of a tire
Why this work is in the frame
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Bibliographic record
Abstract
This study was aimed to find out the correlation between the ground contact characteristics and rolling resistance of a tire. To accomplish the goal, we used 40 sets of tires with the different rolling resistance to examined the tire ground contact characteristics and rolling resistance coefficient of the vehicles in motion. This research team assessed the tire ground contact characteristics with a dynamic contact pressure measurement system equipped with small 3-axis force sensors and 6-axis force & moment sensors, analyzing the contact patch shapes, 3-axial forces (Fx, Fy, Fz), force distribution, and vectors, which practically occur on a real track. In addition, the rolling resistance of a tire was tested according to Force Method as stipulated in ISO-28580, using the equipment (KOBE Co.). The test result showed that the magnitude of Force X among tire ground contact characteristics, which is applied in the direction a car moves, is highly correlated with rolling resistance and the rest (Force Y, Force Z, Contact Patch Shape, and vectors) turned out not significantly correlated with rolling resistance. In addition, when the characteristics of ground contact and resistance by air pressure were compared, a high correlation with Force X was reconfirmed. Moreover, coasting test confirmed the actual effect of tire rolling resistance upon the running resistance of a vehicle. In this study, we analyzed the correlation between tire ground contact characteristics and rolling resistance and experimentally derived major performance factors. In the future, we plan to conduct other experiments regarding the correlation between tire ground contact characteristics and rolling resistance in various driving environments.  Â
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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 | 0.001 | 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 it