Victory Through Innovation: Winning the Race and Staying Sustainable with Altair Solutions
Technology Category
- Cybersecurity & Privacy - Intrusion Detection
- Functional Applications - Manufacturing Execution Systems (MES)
Applicable Industries
- Life Sciences
Applicable Functions
- Product Research & Development
Use Cases
- Manufacturing Process Simulation
- Structural Health Monitoring
About The Customer
Elisava Racing Team was established in 2018 at ELISAVA Barcelona School of Design and Engineering. The team is composed of final year students who took on the challenge of designing and developing an electric motorcycle to compete in the Barcelona Smart Moto Challenge, an international competition held annually in Catalonia. The competition focuses on sustainable mobility, with university teams from around the world competing in an off-road race using self-engineered electric motorcycles. The team has achieved outstanding race results by using Altair solutions to optimize several structural parts of their bike. In 2019, the team won five awards with the electric motorcycle “ERAY” and continued its success in 2020 with the motorcycle “Dayna”.
The Challenge
Elisava Racing Team, a project of final year students at ELISAVA Barcelona School of Design and Engineering, had the challenge of designing and developing an electric motorcycle to compete in the Barcelona Smart Moto Challenge. The team had already optimized important structural parts of their previous designs, “ERAY” and “Dayna,” but wanted to take their latest design “Dayna EVO” a step further. The team aimed to create a 100% electric off-road motorcycle with an IoT connection and a medical service capability. They sought to improve the bike’s safety, comfort, and structural behavior, aiming for a lighter, simpler bike. To achieve this, they needed simulation tools to generate shapes, predict material behavior, and optimize manufacturing processes for the fully electrified motorbike.
The Solution
The team used topology optimization using Altair® Inspire™ to optimize the design of several structural parts while achieving maximum weight reduction. They began by analyzing the original chassis’ performance. For the aluminum subframe, they applied Inspire to minimize the structural assembly’s weight and used Altair® Inspire™ Print3D to optimize the manufacturing process. To design the bike’s swingarm, they studied three main load cases and performed various iterations with Inspire to generate the geometry with an optimal shape. For the carbon fiber handlebars, they used Altair® HyperWorks® to optimize the composite material by modifying the number of layers to achieve the desired performance. Finally, they used HyperWorks to simulate the new parts and complex assemblies and evaluate their performance in different racing scenarios.
Operational Impact
Quantitative Benefit
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