Name
Title | ||
|---|---|---|
Estimation of the braking torque for MotoGP class motorcycles with carbon braking systems through machine learning algorithms |
Abstract | ||
|---|---|---|
This paper investigates new methods for estimating the braking torque generated by carbon brakes mounted on MotoGP class motorcycles. The operating characteristics of the brake is determined by taking into account that the friction coefficient between the pads and the disc depends on three main factors: the disc temperature, the disc-pads relative speed and the normal force applied. Firstly, a num... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MetroAutomotive50197.2021.9502878 | 2021 IEEE International Workshop on Metrology for Automotive (MetroAutomotive) |
Keywords | DocType | ISBN |
machine learning,carbon brakes,artificial neural network,friction coefficient,thermal model | Conference | 978-1-6654-3906-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federico Bonini | 1 | 0 | 0.34 |
| Gionata Manduchi | 2 | 0 | 0.34 |
| Nicolò Mancinelli | 3 | 0 | 0.34 |
| Alberto Martini | 4 | 0 | 0.34 |