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Problem
Student teams struggle with expensive, hard-to-use CFD software and messy, slow design comparisons.
Most solutions are not made for small teams: they're overcomplicated or disconnected.
Formula Student teams (and small automotive engineering groups) face critical bottlenecks in aerodynamics optimization:
- Tool Fragmentation , Accessibility, Efficiency Gaps, Limited Collaboration.
Solution
A Unified, Cloud-Based Aero Optimization Platform
What it does:
Integrates 3D geometry import (CAD), parametric editing, fast cloud-CFD, and wind tunnel/track test data management.
Uses AI/ML to suggest high-potential shape modifications (based on historical team/partner data), predict drag/lift/donwforce for new designs, and highlight underperforming areas.
Provides side-by-side result comparison, easy-to-read graphs, and an automated report generator for design reviews and event entries.
Built-in collaboration and version-tracking: teammates can comment, annotate, and compare simulations from anywhere.
Technical Detail:
Web App: React/Vue.js front end
Simulation: Cloud CFD (like OpenFOAM) backend
AI: Suggests design tweaks using ML models
Storage: Cloud database for designs/results
Features: 3D model upload, version tracking, team sharing, badges/achievements
Security: User login, encrypted data
Who Benefits?
Formula Student race teams, engineering students, and teachers who need simple, affordable aerodynamic simulation and advice.
Why it Matters to Me
- Directly relevant to my work in Formula Student.
Solves a real problem in student racing—faster, cheaper, smarter car design.
Comments
the AI aspect makes it unique
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