Case Study
Case Study
“By integrating Ansys simulation tools into our engineering process, we unlocked a new level of innovation and validation for our STEM Racing project. Using Ansys Fluent software, our computational fluid dynamics (CFD) results closely aligned with those from our wind tunnel testing, confirming the accuracy and reliability of our aerodynamic refinements. Employing Ansys Mechanical software, we ensured our custom four-axis CNC machine’s design could withstand the operational stresses required for precise manufacturing.”
— Aisas Tatsis
Team Leader and Engineer, PiForce
Designing a high-performance miniature Formula One car involves complex aerodynamic, structural, and manufacturing challenges. Engineering simulation is vital in streamlining the car’s development, quickly identify optimal configurations, and refine concepts with confidence. Using Ansys, the student team PiForce overcame performance and production hurdles, accelerated design iterations, and gained invaluable real-world simulation experience. The team understands that continuous innovation and leveraging technologically advanced tools enables them to truly stand out and excel.
The team aimed to create the fastest, most aerodynamically efficient car possible, in which even the slightest improvement could offer a decisive advantage. In a sport where every millisecond matters, simulation enabled them to refine details and outpace the competition. PiForce integrated Ansys Fluent results into their custom software to understand each design’s holistic performance, ensuring they selected only the most potent configurations. The competition criteria demanded robust, accurate, and reliable tools capable of delivering actionable insights, providing the competitive edge they needed.
Figure 1. Computational fluid dynamics (CFD) simulation and visualization using pressure path lines and surface pressure indication on the front wing (red: high pressure; blue: low pressure)
Figure 2. CFD simulation and visualization of the air velocity on the vertical plane of the front wing (red: high air velocity; blue: low air velocity)
Using computational fluid dynamics (CFD) capabilities in Fluent software, the team was able to:
Figure 3. Ansys Mechanical finite element analysis (FEA) simulation of the front wing of the car, which was used to predict the car’s behavior during impact
Ansys Mechanical software enabled the team to:
Figure 4. Visualization of the final car, which the PiForce team raced at the 2024 Aramco F1 in Schools World Finals
Figure 5. Team photo at the awards ceremony with the Chair of Judges Recognition of Achievement award
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