Formula Data Analysis
Chinese GP: Medium-high load wings ✅Downforce CRUCIAL from T1 to T13. ❌The 1.4km full-throttle section will punish excessive drag, especially if caused by the (fixed) lower plane! 🔵RBR maximizes DRS effectiveness through an unloaded lower plane + very loaded…
Significant differences among the teams: Mercedes. Ferrari, Alpine and Williams have a less loaded wing compared to Aston Martin, for example.
Compared to RBR, McL has a less loaded upper plane and more loaded lower plane, which should make their DRS less powerful.
Compared to RBR, McL has a less loaded upper plane and more loaded lower plane, which should make their DRS less powerful.
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Visualizing the effect of flexible wings!👀
(Collab with @justf1car 🤝)
Downforce and drag are proportional to the speed squared: they are very small at low speeds, and become huge at high speeds.
This is a problem: cars have less grip at lower speeds (when they need it the most) and face a lot of air resistance at high speeds (on the straights)!
The clever F1 engineers invented flexible wings to get a better compromise:
-As much downforce as possible at lower speeds➡️Cornering improves;
-Reduced drag at high-speed thanks to the flexion of the wing➡️Top speed improves!
(Collab with @justf1car 🤝)
Downforce and drag are proportional to the speed squared: they are very small at low speeds, and become huge at high speeds.
This is a problem: cars have less grip at lower speeds (when they need it the most) and face a lot of air resistance at high speeds (on the straights)!
The clever F1 engineers invented flexible wings to get a better compromise:
-As much downforce as possible at lower speeds➡️Cornering improves;
-Reduced drag at high-speed thanks to the flexion of the wing➡️Top speed improves!
❤6⚡2👍2🔥1
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🗒Notes on Chinese GP!
🔵VER won and made the difference: PER couldn’t gain over NOR on the last stint
🟠NOR was MVP: he needs a win now
🔴Solid race by LEC; Ferrari limited the damage waiting for the upgrades
⚫️Good recovery by HAM
⚪️HUL in the points!
What’s YOUR take?🤔
🔵VER won and made the difference: PER couldn’t gain over NOR on the last stint
🟠NOR was MVP: he needs a win now
🔴Solid race by LEC; Ferrari limited the damage waiting for the upgrades
⚫️Good recovery by HAM
⚪️HUL in the points!
What’s YOUR take?🤔
👍11❤2🤔2
AVERAGE TIME IN PITS - Chinese GP
🥇🟡RBR was fastest: flawless execution by
@F1mech and his crew!
🥈🟠McL: +0.06s slower
🥉🔴Ferrari: +0.10s
🟢Sauber desperately needs the updated wheel nuts to fix their troublesome pit stops.
Aston’s average was high due to STR.
🥇🟡RBR was fastest: flawless execution by
@F1mech and his crew!
🥈🟠McL: +0.06s slower
🥉🔴Ferrari: +0.10s
🟢Sauber desperately needs the updated wheel nuts to fix their troublesome pit stops.
Aston’s average was high due to STR.
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📊Positions gained in the Chinese GP
📈Hamilton gained the most (P18 to P9).
📉Bottas lost the most (P10 to P20 due to his retirement).
Ferrari recovered well after a disappointing qualifying (4 places gained in total).
The opposite for Aston: ALO and STR lost 4 places each.
Via @JMP_software
📈Hamilton gained the most (P18 to P9).
📉Bottas lost the most (P10 to P20 due to his retirement).
Ferrari recovered well after a disappointing qualifying (4 places gained in total).
The opposite for Aston: ALO and STR lost 4 places each.
Via @JMP_software
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