Beyond Basic CFD
The Technical Deep Dive

Beyond Basic CFD

The Technical Deep Dive: Beyond Basic CFD

Here's where our process gets more sophisticated. While many companies run basic CFD simulations using black box packages with limited understanding of the mathematics in the underlying code, we employ the same advanced techniques Scott helped develop in Formula 1 using varying mathematical models to get the most accurate results for a given amount of computational overhead.

Mesh Independence Studies

We systematically refine our computational mesh until results converge, ensuring our simulations aren't compromised by insufficient resolution. Our typical automotive simulation uses over 100 million cells—far exceeding what most aftermarket companies consider necessary. We use up to 15 inflation layers on the vehicle and the wing to capture regions of separation accurately. Whilst meshing is disregarded as just a part of the setup process to get the fancy images by some, we pride ourselves on the ability to generate world class meshes using our novel approach, as the accuracy comes from capturing the flow behaviour and reducing the ongoing error generation that can propagate downstream if you get it wrong!

Delayed Detached Eddy Simulation (DES)

For certain models where we are targeting critical areas like wing wake interactions and underbody flow, we use hybrid RANS-LES approaches commonly called DDES that capture both steady flow patterns and transient turbulent structures. This allows us to understand complex phenomena like vortex breakdown and sensitive flow reattachment that determine real-world performance.

Custom Software: Optimizing for Speed and Precision

While we can't reveal all the details yet we're not just using off-the-shelf CFD software. Scott has recently developed custom interfaces to streamline our workflow with OpenFOAM and integrate seamlessly with AWS infrastructure and our local machines.

This isn't about reinventing the wheel—it's about removing bottlenecks that slow down the development process. Faster iterations mean we can explore more design options and ultimately deliver better products to our customers. We’ve developed and validated the backend software and scripts to run high fidelity RANS and DDES simulations and now we’ve streamlined that entire process into one simple (yet unattractive) interface. Davis might lend Scott a hand to redesign it for aesthetics, not just performance!

Results That Matter: Beyond Marketing Claims

Our CFD-driven approach delivers measurable improvements across our entire product range, here are some examples:

BMW M4 Competition

ADRO modifications generate over 400% more downforce at 180km/h while increasing drag by only 19%, dramatically improving the downforce-to-drag ratio compared to the stock configuration.

Porsche 911 GT3

Our ADRO GT3 v1 kit generates 178% more downforce vs stock (in the stock car’s max downforce config as it is adjustable) while maintaining balanced front-rear distribution with 0.5%. This is critical for maintaining the 911's characteristic handling, and despite this large increase in downforce, only increases drag by 7% resulting in faster lap times from the increase in corner speeds, as proven on track with Liam Lawson at the wheel and our CTO Scott hanging on tight!

Toyota Supra

Our V2 Facelift kit that includes our new front bumper results in 874% more downforce than the standard vehicle, eliminating the rear lift the stock car has at high speed and only increases drag by 10%.

Variable Angle-of-Attack Testing

We test our wing elements across multiple angles of attack to understand performance across different setups to suit various driver preferences. Track day enthusiasts can optimize for maximum downforce when at tighter circuits, while daily drivers might prefer a more drag-limiting setup that doesn't compromise fuel economy.

Track Testing

For some vehicles (especially the really fun ones), we spent time both on the road and at the racetrack to understand how the kit feels from a driver’s perspective. Using a VBOX HD2 GPS-based logger — accurate down to the centimeter — we were also able to capture meaningful changes in cornering speeds.

In July 2025, Scott had the opportunity to test our prototype components in the UK alongside current F1 driver Liam Lawson (thanks to our friends at AutoID — much appreciated!). He described the experience as “both amazing and terrifying.” The recorded lap time data matched perfectly with the step-by-step aerodynamic gains: stock vehicle → ADRO V1 kit → V2 prototype kit, each showing about a **30% increase in downforce**. This progression shaved seconds off lap times while crucially maintaining overall vehicle balance. Cornering speeds improved dramatically, with almost no change to top speed.





The Competitive Reality: 
Why This Approach Matters

Most companies in our industry are essentially running design-by-eye operations. They create parts that look aggressive, make broad performance claims, and hope for the best. Some run basic CFD simulations, but few have the validation experience necessary to ensure those simulations reflect reality. Anyone can run a simulation and it will always give you an answer. At uni they say “garbage in equals garbage out” so you really need to understand what is happening to feed the right information into the simulation.

ADRO can operate with F1-level computational resources and validation standards, firstly because our CTO has done this before, and secondly, because we're not constrained by racing regulations that limit computational power or testing time. We can run simulations that exceed what current F1 teams use in some cases, simply because we have the freedom to optimize for pure performance (accuracy and time) rather than regulatory compliance.

Looking Forward:
The Future of Automotive Aerodynamics

The automotive industry is evolving rapidly, with electrification changing vehicle architecture and opening new aerodynamic possibilities. Our CFD-first approach positions ADRO to lead this evolution, developing solutions that optimize for the unique requirements of electric vehicles through the use of our bespoke optimization software while maintaining the performance focus that defines our brand. Our CTO, Scott is always on the lookout for the next big step in technology that we can implement and has recently been exploring (and building) neural network AI based inference software to help speed up development iterations and also has been exploring Lattice Boltzmann Methods now that they are maturing and becoming more robust vs typical Navier-Stokes based methods.






The Bottom Line

When you choose ADRO, you're not just buying aerodynamic modifications—you're investing in a process that treats every vehicle like a championship contender. Our CFD methodology ensures that every wing, splitter, and diffuser we create delivers measurable performance improvements, not just visual impact.

The result? Products that perform as impressively as they look, backed by the same engineering rigor that helps F1 cars slice through air at 300+ km/h.

Ready to experience F1-level aerodynamics on your vehicle? Explore our complete range of CFD-validated performance modifications at www.adro.com