Campus Ideaz

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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.

Votes: 16
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Comments

  • This is a fantastic tool for student teams, making complex aero optimization much more accessible and collaborative. It could be even more powerful by adding a tutorial or guided mode for beginners to get started quickly. Keep up the great work!
  • This idea is strong—Formula Student teams really need a simpler, affordable aero optimization tool. Combining CAD, cloud-CFD, AI insights, and collaboration in one platform removes major bottlenecks like tool fragmentation and accessibility. The automated reports and version tracking add real value for both competition and learning. If executed well, this could become the go-to aero design tool for student teams and small engineering groups.
  • Great initiative of integrating AI/ML with car racing. Good work 👏👏
  • This is an impressive approach to tackling the challenges Formula Student teams face with expensive and complex CFD tools. I like how the platform simplifies simulations, integrates collaboration, and leverages AI/ML for smarter design decisions—making aero optimization faster and more accessible for student teams.
  • Clear and impactful solutions that make CFD simpler, cheaper, and more collaborative are a strong value add for student teams. To make it stronger, consider addressing challenges such as ensuring simulation accuracy and managing cloud costs
  • This is a strong idea that makes CFD tools more accessible and team-friendly. The AI-driven design suggestions and collaboration features stand out. To make it even better, you could explain how affordable the platform will be compared to existing tools and how you’ll validate the AI recommendations for accuracy.
  • I love the AI/ML suggestion feature. It’s like having a virtual aero mentor that speeds up learning while guiding design choices.
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