The Formula Student Event hosted by Ansys and CADFEM brings teams from universities across Europe together every year. It is a unique opportunity to better prepare for different simulation tasks of the next Formula Student season by learning from expert engineers and using our free simulation software, along with a wide range of self-paced learning resources.
Time:
September 14, 2021
10 AM CET
Venue:
Online
The Formula Student Event hosted by Ansys and CADFEM brings teams from universities across Europe together every year. It is a unique opportunity to better prepare for different simulation tasks of the next Formula Student season by learning from expert engineers and using our free simulation software, along with a wide range of self-paced learning resources.
In the virtual workshops on autonomous, electromagnetics, fluids and structural mechanics, you will be presented with simulation challenges and solutions. You will also have a platform to network and exchange your knowledge with our experts and your peers.
The kick-off event on September 14 is open to everyone. We will give you an introduction to the event program, the learning path in Ansys Learning Hub and simulation challenges in different subject areas which your team can work on during the next two weeks.
You can also look forward to a special keynote with Alexander Wischnewski, Team Leader of TUM Autonomous Motorsport. In June 2021, his team was awarded $50,000 for the second best result in the Ansys Indy Autonomous Challenge Simulation Race.
In the workshops on September 28, the solutions to simulation challenges will be presented and discussed. Furthermore, we will share our best practices and put them in the application context. REQUIREMENT: you must be registered to use the Ansys Learning Hub (ALH) to participate in the workshops! Please use the discount code you received via email to register for ALH.
We are looking forward to meeting you online!
Time: 10 to 11:30 AM CET
| 10:00 | Welcome and introduction | |
| 10:10 | Ansys Formula Student program overview | |
| 10:20 | Individual learning path to simulation adoption in different application areas: Fluids: Improve the aerodynamic performance Structural Mechanics: Ensure robust design Electromagnetics Autonomous |
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| 11:00 | Keynote presentation by Alexander Wischnewski, Team Leader of TUM Autonomous Motorsport | |
| 11:20 | Closing remarks |
