If you’re a Motorsport fan, SimRacer, or engineering student, then you cannot miss this thread! 🔥

A fast car is useless if you cannot setup it correctly: curious about how we engineers tune its suspensions to reduce the laptime? 😏

Read on, and get quicker! 👇 Suspensions = springs (elical springs + antirollbars) + dampers + linkages

They connect the chassis to the wheels, allowing a relative motion between the two.

They impact 3 main things:
1)Car's balance when cornering
2)Body movement
3)Unnevenness absorption

What is ‘Dirty Downforce’? 🤔

How is it related to aerodynamic efficiency and car performance?🏎️

I explain it in this thread using real examples!
Read on 👇 #F1 F1 cars, when moving through the air, produce both drag (the aero resistance force, which slows the car down) and downforce (that pushes the car down, increasing grip

Downforce is desired; drag, of course, is not

🛠️Car Suspension Setup🛠️

A fast car is useless if you cannot setup it correctly!

Want to go faster in SimRacing? Curious about how we engineers tune the parameters to reduce the laptime?👀

This is the thread for you! Get ready to improve 😎 Suspensions = springs (elical springs + antirollbars) + dampers + linkages

They connect the chassis to the wheels, allowing a relative motion between the two.

They impact 3 main things:
1)Car's balance when cornering
2)Body movement
3)Unnevenness absorption

Ever wondered which parts of the car produce the most drag? (Simulation on 2009 car)

In order:
1)Rear wing
2)Front Wing
3)Rear wheels+susp
4)Floor+Diffuser
5)Chassis+Front wheels

The WHOLE chassis produces half the drag of the front wing alone!🤯

Read on to understand why👇 The front wing is the first element to hit the air and diverts the airflow away from the tyres (reducing their drag). Changing the flow direction requires a lot of energy, and a lot of drag is produced.

The chassis, instead, has a teardrop shape, which has minimal drag.

Pirelli is bringing reinforced slicks to Silverstone, claiming that this won't affect 'any of the other technical parameters or their behaviour on track'🛞

However, as a person who conducted research on tyre dynamics, I find this very unlikely👀🤔

👇Read on to learn why👇#F1 Tyre behaviour is highly:

-Nonlinear: the output (e.g. the cornering force) is NOT proportional to the input (e.g. the slipping)
-Coupled: the outputs are linked (the lateral grip requested influenced the longitudinal grip available)
-Transient: the response builds up over time

In '05 and '06, Alonso became champion with Renault, showing a driving technique never seen before... and no one has used it since then!👀

He used very high steering angles to manage the front tyre temperatures in a unique way🛞🔥

👇Curious already? Read on to know more!👇 At the time, there were two tyre suppliers; Renault was equipped with Michelin tyres.

In 2005, pit stops were banned! The driver had to complete qualifying and the race on a single tyre set. Suppliers provided very hard and durable tyres... too much for a qualifying session!

The scientific article on the work I'm most proud of was finally published!🤩

You probably know me for analysing F1 telemetries, but did you know that my researches focuses on motorcycle dynamics?🏍️

This work addresses an unsolved problem in my field: read on to know more!👇 Motorcycle riders apply torque around the steering to perform the manoeuvres; therefore, the steering torque signal is crucial information. The problem, though, is that measuring it is pretty challenging!

I'm eager to discover the performance of each team for this new season!

...In the meanwhile, why not make the point about the Strengths and Weaknesses of each '22 #F1 car? 👀

Read the thread to know everything! 👇 RB18 - ‘The Wind-Friendly Dragster’
@redbullracing

Ever seen an #F1 tyre looking like this?🤔

It's covered by marbles: bits of rubber that break off when the tyre is graining

These are often flung off the racing line and avoided... but did you know that drivers PURPOSEFULLY drive over them when the race is over? 🤯
Read on!👇 This increases the car's mass to ensure it remains over the minimum weight after the race.

Teams always try to stay as close as possible to minimum weight, and driver dehydration, damages etc., could bring the car under that.

Picking up the marbles is a clever solution!

What is ‘Dirty Downforce’? 🤔

How is it related to aerodynamic efficiency and car performance?🏎️

I explain it in this thread using real examples! Read on 👇 #F1 F1 cars, when moving through the air, produce both drag (the aero resistance force, which slows the car down) and downforce (that pushes the car down, increasing grip

Downforce is desired; drag, of course, is not.

Ever wondered how different Motorsport series compare in terms of laptime?

Formula 1, LMP1, Indycar, GT3, MotoGP, Formula E…

The answers are in this thread ... with some big surprises! 😏
Read On
👇 ‘How can we compare them? They don’t race on the same tracks!’

True, but each series runs at several tracks.
Therefore, we can compare each series to all the series with common tracks
We can do this to create a ‘web’ of relative performances that allows us to compare them all!

In 2014 in Barcelona, Caterham’s F1 car was SLOWER than their GP2 car! 🤯

-1.30.3 for the F1
-1.29.8 for the GP2 (0.5s faster!)

#F1 cars became terribly slow in ‘14, and Caterham’s car was terrible. I explain this strange result in this thread! 👇 F1 cars became terribly slow in 2014. This was due to:
-New PU➡️Significantly increased mass (+49kg over 2013)
-Lower peak and mean power than the already weak V8s (Considering Caterham’s Renault PU: around 750hp+80hp of KERS for V8, around 600+160hp for V6s)
-Narrower front wing

Formula 4
Formula 3
Formula 2
Formula 1

🏎️ What makes these cars different, and each one faster than the previous one? 🤔

This thread compares their performance: you can’t miss it if you’re a #F1 enthusiast!
👇👇 Formula 4
-Engine: several road car engines, 160hp
-Mass: 570kg
-Width: 1750mm
-Wheelbase: 2750mm
-6 Gears
-0-100km/h: 3.5s
-Top speed: 250km/h (in low-drag spec)

Small, lightweight, raw: despite the road-car power, it would still destroy supercars in most circuits

I’ve spent the whole season analysing the telemetries of each #F1 session 📊

I have a clear idea of the strengths and weaknesses of each car, along with what was successful and what went wrong with development 📈📉

Read the thread to know everything! 👇 RB18 - ‘The Wind-Friendly Dragster’
@redbullracing

In Zandvoort, VER had just crossed the line getting 1st from LEC when PER spun, interrupting the session. LEC could not finish the lap 🚫

⁉️ Was PER's spin deliberate? Was it similar to Monaco?
I will give you an answer using telemetry and onboard! 📈🏎️
#F1 @SChecoPerez First, let's look at the onboard:
-PER got the apex correctly, reached the outmost point of the corner then spun to the right

But what caused the spin? Did he try to correct it?

‼️ Why Perez's Monaco crash was totally abnormal, explained through the onboard and telemetries 📈

The answer in this thread: read on! 👀
#F1 @SChecoPerez This is Perez's telemetry in his personal best lap (blue line) and in the lap relative to the crash (white line)

Look at the throttle: in the first two corner exits, his behaviour was similar to the previous lap

In the third corner, though, he went on the throttle MASSIVELY

The midfield bridged the gap to the top teams!

🍀This one is extra-easy: try to guess
1)The order of the top 4 runners, sorted by average pace
2)The most consistent driver

🏆I'll send the analysis and premium article to all the winners!

👀Read it here: buymeacoffee.com/F1DataAnalysis… One person got it right so far!

An #F1 car produces a massive amount of downforce... but is it enough to make it run upside-down without falling? And if so, which speed is needed?🤔

The explanation of this intriguing topic, and the answer to my latest riddle, are in this thread!👀🏎️ Inspired by a discussion with @NaturalParadigm, we both proposed our own version of a riddle. Mine was:

‘An F1 (mass=800kg) car produces 200kg of downforce at 100km/h… at which speed can it drive upside down without falling?’

The most voted option only got 35% of the votes!

Early vs Balanced vs Late energy deployment: what is best to cover a straight in the least amount of time? 🤔

I asked you this question through a riddle: over 6000 votes later, there was no consensus!

👀 The answer is explained in this thread - you can’t miss it! #F1 The riddle was:
‘A team is testing 3 different ERS-deployment strategies for the main straight of a track. All 3 Config. have the same starting speed (200 km/h) at the beginning of the straight…

Would you like to work as a #F1 engineer? Then try to solve this riddle! 👀 (by @GaborWeber)

‘A team is testing 3 different ERS-deployment strategies for the main straight of a track. All 3 Config. have the same starting speed (200 km/h) at the beginning of the straight…

(1/2) At 1/4 distance Config A reaches 270, Config B 260, Config C 255 km/h (with constant acceleration)

At the end of the straight Config A is at 310, Config B at 320, Config C at 330 km/h (with constant acceleration)

Which Config covers the straight in the least time? And why❓🤔

Car Setup Series - Ep.1: Suspensions

A fast car is useless if you cannot setup it correctly!

Want to go faster in SimRacing? Curious about how we engineers tune the parameters to reduce the laptime?

This is the thread for you! Get ready to improve 😎

Ep1: Suspensions Ep.1: Suspensions

Suspensions = springs (elical springs + antirollbars) + dampers + linkages

They connect the chassis to the wheels, allowing a relative motion between the two.

They impact 3 main things:
1)Car's balance when cornering
2)Body movement
2)Unnevenness absorption