Case Study 02

Vehicle Aerodynamics Analysis

A full-car external aerodynamics study on a Formula 1 car at race speed, presented the way it would be for a client program: what the airflow is doing, where the performance comes from, and what it means for the design.

01 · Overview

Overview and objectives

This study covers a complete external-aero simulation of a full F1 car at 50 m/s (180 km/h), with a moving-ground plane so the ground-effect physics come through correctly, instead of relying on a static-floor approximation.

The mesh is refined heavily around the car: 11.3 million cells, five boundary layers, with the first cell close enough to the surface to resolve real detail in the flow right at the body.

The objective wasn't a pretty picture. It was to answer the three questions any performance program cares about: where downforce is actually coming from, where drag is being paid for it, and where there's room to improve the balance between the two.

Close-up of the refined surface mesh near the car body
Refined surface mesh, ~11.3M cells total
02 · External Flow

Vehicle external flow analysis

Once the simulation is running, the first useful view is the full picture: how air moves over, under, and around the entire car at once, rather than one cross-section at a time.

That whole-vehicle view matters because components don't work in isolation. A change that looks good on a front wing by itself can still cost more downstream than it gains once the rest of the car is accounted for.

03 · Front

Front aerodynamic components

The front wing does its share of the work (about 28% of the car's total downforce comes from it), but it's also where the car's aerodynamic story begins.

Vortices roll off the wing almost immediately and get carried downstream: real, rotating structures that travel the length of the car and shape how air behaves at the wheels and along the floor further back.

Front of the car colored by surface pressure
Surface pressure (Cp), front wing
Vortex cores rolling off the front wing
Vortex cores rolling off the front wing
04 · Side Flow

Side flow and wheel wake

An exposed, spinning wheel churns the air more than almost anything else on the car. It's consistently the single most turbulent region in the whole simulation.

That turbulence isn't just a smear in the air. It's organized into real, rotating vortex structures peeling off the wheel and carrying downstream, which is exactly the kind of interaction that has to be accounted for anywhere else on the car that sits in a wheel's wake.

Turbulent kinetic energy slice through the front wheel wake
Turbulent kinetic energy, front wheel wake
Vortex cores in the wheel wake
Vortex cores peeling off the wheel
05 · Rear

Rear wake analysis

By the time air reaches the back of the car, the rear wing and diffuser are doing the majority of the work (roughly 72% of the car's total downforce comes from the back half alone).

All the rotational activity generated further forward, off the front wing and around the wheels, stretches, travels, and rolls up into one coherent, turbulent wake behind the car.

Rear wing and diffuser colored by surface pressure
Rear wing / diffuser, surface pressure
06 · Pressure & Velocity

Pressure and velocity visualization

Most of what shows up as drag and downforce on a car like this comes from pressure, not surface friction: in this study, pressure-driven forces outweighed skin friction by roughly 19 to 1.

The floor is where that shows up most. Squeezing air through the centimeters-tight gap between the underbody and the track accelerates it, almost exactly like a venturi, and that acceleration is what pulls the car into the road.

Full car colored by surface pressure
Full-car surface pressure (Cp)
07 · Key Observations

Key aerodynamic observations

The visuals tell the story; these are the numbers behind it, at 50 m/s (180 km/h):

0.90
Cd (drag coefficient)
3.00
Cl (downforce coefficient)
6,430 N (656 kgf)
Total downforce
1,930 N (197 kgf)
Total drag
28% / 72%
Front / rear downforce split
~19 : 1
Pressure vs. friction force ratio

Every one of these numbers points at a specific design decision: where to add load, where to cut drag, and where the two trade off against each other.