Students leverage Siemens’ digital twin solution to deliver Formula One race car prototype on time
“The tool was introduced in sample simulation tasks in the form of a tutorial.
Different tasks for different simulation parameters could be carried out. Afterwards, I could slowly work my way up to our problems. Working
with Simcenter FLOEFD was very pleasant.” Daria Sall Cooling and Lubrication High Speed Karlsruhe
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The challenge of short design seasons
The students had some challenges in the design phase. They worked on this project in addition to their demanding study program, and had no time for extensive prototyping between racing seasons. The findings of the previous race season flow directly into the digital development of the subsequent vehicle.
For the dynamic events, they needed to design reliable components that would withstand a high level of stress with parts that were as light as possible. They had to assess the engine’s performance under stress as quickly as possible. With such a high-performance, high-powered engine, the cooling system was one of the most important parts of the race car.
Cooling system tradeoffs
A compromise must always be found between the size of the cooling system and the weight and air drag.
Various formulas and calculations are usually involved in the development process of a cooling system, but ultimately the students had to estimate which aspects would be profitable for their race car. To get the details they needed to make these assessments, they used a PTC Creo™ software computer-aided design (CAD) model with the Siemens computational fluid dynamics (CFD) software, Simcenter FLOEFD™. After two days of training, they were up and running with their own models.
“ The simulation animations were very helpful for representing component construction methods to illustrate the problems and
solutions for other team members.” Hakan Yigit Head of Engine and Drivetrain High Speed Karlsruhe
Digital twin makes collaboration easier
The students were introduced to the tasks for the different simulation parameters they would need to perform on their digital twin, which could then be applied to their specific design challenges. The simulation animations helped them to easily and quickly illustrate the problems and the solutions with other team members throughout the design process.