Hi!
I just done CFD simulations of 2020 motogp bikes and I want to share my results usefull for modders.
My results based on moto GP models from motogp20. I didn ´t simulate internal flow (cooling).
SO here are result:
Desmosedici20 : CDA=0,262 / CLA=-0,090
GSX-RR : CDA=0,237 / CLA=-0,019
RS-GP : CDA=0,247 / CLA=-0,016
RC213V : CDA=0,259 / CLA=-0,047
RC16 : CDA=0,251 / CLA=-0,021
negative value mean downforce
You can see that ducatti has most downforce and most drag.
It isn ´t 100% accurate fore sure but those values are realistic. I used same raider for all bikes.
I just done CFD simulations of 2020 motogp bikes and I want to share my results usefull for modders.
My results based on moto GP models from motogp20. I didn ´t simulate internal flow (cooling).
SO here are result:
Desmosedici20 : CDA=0,262 / CLA=-0,090
GSX-RR : CDA=0,237 / CLA=-0,019
RS-GP : CDA=0,247 / CLA=-0,016
RC213V : CDA=0,259 / CLA=-0,047
RC16 : CDA=0,251 / CLA=-0,021
negative value mean downforce
You can see that ducatti has most downforce and most drag.
It isn ´t 100% accurate fore sure but those values are realistic. I used same raider for all bikes.