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CASE STUDY
AOX-DRIVEN PERFORMANCE PORSCHE 992 GT3
2026. 04. 20
AOX-Driven Performance for the Porsche 992 GT3
Validated at YeongAm Circuit through step-by-step configurations
Introduction
In our previous study, AOX successfully increased the Porsche 992 GT3’s front downforce whilst adding minimal drag, enabling the rear aero system to operate closer to its full potential. Building on this foundation, ADRO has now advanced to a full-car aerodynamic optimization program designed to extract even greater performance from the GT3 platform.
Using AOX’s rapid, data-driven shape evolution, this phase refines both front and rear aerodynamic components to enhance total downforce, improve yaw stability, and maintain a well-controlled aerodynamic balance at high speeds. The result is a GT3 configuration that delivers sharper turn-in, stronger traction on corner exit, and improved driver confidence — all with design changes that remain faithful to Porsche’s original intent.
Project Overview
- Vehicle: Porsche 992 GT3
- Circuit: YeongAm International Circuit, Korea
- Optimisation Scope: Full aero package (front + rear), applied stepwise
- Workflow: AOX-only (no traditional manual CFD process)
- Validation: Numerical Data + VBOX-based track testing
Project Objective
Traditional aerodynamic development often relies on complex CFD workflows that are time-consuming, expert-dependent, and difficult to scale across multiple configurations.
The objective of this project was to evaluate:
How effectively AOX alone can optimise aerodynamic performance
Whether stepwise aero application can maintain controllable balance while improving performance
How numerical results translate into measurable on-track gains, particularly in high-speed sections
Rather than pursuing peak downforce alone, the focus was on usable performance — stability, balance, and lap time consistency.
THE AOX Approach
Unlike conventional CFD-driven workflows, this project relied exclusively on AOX for aerodynamic development.
AOX workflow enabled:
- Rapid exploration of multiple aero configurations
- Automate evaluation of downforce, drag, and balance
- Iterative refinement without manual meshing or solver tuning
- Seamless transition from numerical analysis to physical validation
Each configuration as optimised and validated in sequence:
- Stock configuration
- Initial ADRO aero setup
- AOX-optimised front aero
- AOX-optimised front + rear aero (full package)
This stepwise approach allowed performance gains to be attributed and explained, rather than observed as a single aggregated result.
Performance Gains
Downforce, Drag and Balance
AOX optimisation resulted in a substantial increase in total downforce across configurations, accompanied by a predictable increase in drag.
Key observations:
- Downforce increased progressively with each AOX-optimised step.
- Balance shifted rearward as rear aero contribution increased.
- Results highlight the importance of balance management, not just peak load.
Downforce gain:
Compared to the stock configuration, AOX V2 Front + Rear (Max RW) delivered a substantial increase in aerodynamic load, with total downforce rising by approximately 132%. When compared against ADRO V1, the downforce gain remained significant at roughly 85%, demonstrating that AOX optimization scales effectively from partial aero upgrades to a full aero package. This progressive increase confirms that the additional load was not achieved through isolated component tuning, but through system-level aerodynamic interaction between front and rear devices.
Drag impact and control:
While downforce increased dramatically, drag growth was kept relatively moderate. Relative to the stock setup, drag increased by about 28%, and by roughly 27% compared to ADRO V1. Given the magnitude of downforce gain, this indicates that AOX did not simply trade straight-line efficiency for cornering performance. Instead, the optimization process focused on controlling drag growth, ensuring that the performance gains remained usable on track rather than being offset by excessive straight-line penalties.
Aerodynamic efficiency:
As a result, the overall aerodynamic efficiency improved markedly. The downforce-to-drag ratio increased by approximately 81% compared to stock and 46% compared to ADRO V1. This improvement highlights that AOX optimization delivered more effective aerodynamic load per unit of drag, translating numerical gains into practical on-track benefits. Such efficiency gains are particularly important in circuit environments where both straight-line speed and high-speed cornering performance must coexist.
Front Balance interpretation:
With the full aero package and maximum rear wing configuration, front balance shifted to approximately 41% front, compared to 46–48% in the stock and ADRO V1 setups. This rearward shift reflects a deliberate emphasis on rear stability and high-speed confidence, consistent with a maximum rear wing configuration. At the same time, it underlines the importance of balance management when scaling aerodynamic performance, as full aero optimization introduces new tuning opportunities—and requirements—across front devices and rear wing settings to achieve the desired handling characteristics.
Performance Gain:
- Fastest lap improvement: -0.59 s
- Ideal lap improvement: -0.60 s
These results demonstrate that the aerodynamic gains translated directly into lap time reduction, even without traditional CFD validating process and tuned power unit.
Full lap data
High speed cornering
Where the Time Was Gained
High-Speed Corners & Full Lap Analysis
VBOX overlays revealed that performance gains were concentrated in high-speed sections, where aerodynamic load and stability play a dominant role.
Key findings:
- Higher sustained cornering speeds in fast corners
- Improved lateral acceleration consistency
- Increased driver confidence during high-speed direction changes
Full-lap overlays show that gains were achieved not through aggressive braking or traction differences but through aero-driven stability and speed retention.
What This Case Study Demonstrates
AOX scales effectively from single-component optimisation to comprehensive aero packages. AOX-only workflows can deliver track-validated performance gains and stepwise validation allows engineers to understand the reasons behind performance improvements rather than just the magnitude. Aerodynamic optimisation is most effective when viewed as a system-level balance problem.
Conclusion
This YeongAm Circuit case study confirms that AOX is capable of delivering meaningful aerodynamic performance improvements without reliance on traditional CFD pipelines.
By combining automated optimisation with structured on-track validation, AOX enables faster, cleaner, and more scalable aerodynamic development — from concept to track.