leblanc wrote: ↑15 Apr 2024, 01:03
Didn’t know he got all the credit for Byrne’s concepts.
It's not a public credit, but people online are completely unaware of the work Byrne still does. Not that he cares, of course
He was in Maranello for a few months this winter, this can only mean he was deeply involved with some important aspects. His approach is to always go for usable downforce and make sure it works as expected in all conditions, even when early 2000s Ferraris were running in Q mode for half the race. You can literally see when he's being listened to more or less, depending on how the car behaves.
ing. wrote: ↑15 Apr 2024, 05:22
Sanchez effectively wasted almost a year of development last year by sticking with his flawed concept. Seems to me he didn’t fool anyone at McL either, which would explain his almost immediate (record-setting?) departure from Woking.
There was a very peculiar and unfortunate series of events that lead to SF23 being launched the way it was. On one hand, Ferrari's terribly strategies and poor PU reliability (of the updated PU that was supposed to be even more reliable and more powerful than launch spec) ensured there is no point updating the 22 car after France. Usually Binotto's decision to stop there and focus on 23 would have been ok - if there wasn't an incoming TD39 and it's questionable effects on Ferrari.
It would also have been very useful to use the 22 car as a test mule for higher floor edges with at least a minor rework done on one spec of the floor no longer in use. So going into 2023 design they had no idea what could wait on the other side. On top of that, you had Vigna pressuring to go for lower drag at all costs and this meant sacrificing some things. Neither Binotto nor Sanchez agreed with this decision and this was one of the things that pushed them both towards resignation. As far as I understood, it was this late-2022 period when Byrne was less involved.
Right now, Cardille and his team seems to be working very well with Byrne. In my view, Vasseur also understands how important it is to have such an experienced engineer, even as a consultant. Steering the project in the right direction at a crossroads where you can't really tell for sure which path is better is priceless. It's like a decision matrix I imagine, an experienced engineer has the factor-weighing method for every case
venkyhere wrote: ↑15 Apr 2024, 07:48
Now tell me, how to
really separate the 'physics' from the 'data' ? Physics is just a 'model' of nature, we have at best, some mathematical equations. Data from sensors and actuators 'reveals' how nature is behaving. Now, assume we have the lastest AI capability and AI can itself figure out the physics of an engine or the physics of air or the physics of complex springs and dampers, purely from 5 years of 'data' from each track on the racing calender. Can we ignore human engineers with years of experience and design a car from scratch in the 6th year, purely via AI ? Now bring in words like 'engineering' , 'design' , 'algorithms' , 'what the driver feels on his bum and how effectively is he able to make the engineers understand it, whether he needs a language translator' etc into this, and this gets seriously intertwined into a complex web of various disciplines of expertise.
All models are inhretenly flawed, all data is inherently flawed, errors creep up and there's no changing that. However, this does not mean it's all useless - most of the time it's very useless since errors are now quite small and some are practically insignificant.
What "AI" is doing is taking huge amount of data, generating some patterns from it and is later capable of yielding some results for completely new input data. What's different from CFD in F1 for example, is that AI computing is not regulated. So even if it's only good enough to single out very bad results which would lead to wrong dev path, it's very usefull. And this is where those errors from before can make a real mess - if the original data fed to AI/ML tools is not good enough, you can perfect the process itself all you want. It will still yield unreliable results.
This winter there was a post somewhere that all teams are already using some AI/ML tools for initial CFD work and this isn't surprising. It takes a lot of data to sort out the CFD results to the levels required for F1 application. The corelated CFD results are a valid input and all teams have serious amounts of those. The wrong thing would be to only use 2022 and 2023 results for 24/25 car development, since you deprive the AI/ML tool of tons of diversified data. This diversification will likely ensure that proper geometry-flow structure patterns emerge, especially since previous generation of cars had an abundance of vortices interactig with turbulent wakes all over the car.