Project 930

Repeatable mechanically powered car — no electricity, only pure mechanical energy.

WATCH THE DEMONSTRATION
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PROJECT OVERVIEW

This project explores the design and development of a car powered entirely through mechanical means. The car is engineered to store and release energy using springs, gears, and flywheels — achieving repeatable motion without any electrical components. The goal is to demonstrate efficient energy transfer, stability, and control purely through mechanical systems.

This challenge pushed the team to apply core principles of mechanical engineering, focusing heavily on friction reduction , optimal gear ratio , and chassis stabilisation under high strain, mirroring the real-world demands of high-performance automotive design.

DESIGN INSPIRATION

The aesthetic and performance focus for our mechanical car is inspired by the iconic Porsche 911 930 Blackbird , emphasizing a low-drag profile and aggressive, functional bodywork, complemented by specialized BBS wheel geometry for minimal rotational resistance.

Porsche 911 930 Blackbird Assetto Corsa game capture for inspiration model

DESIGN & PROTOTYPES

CAD Design Render Physical Prototype

PERFORMANCE DEMONSTRATION

Click the image above to view the full testing footage on YouTube.

3D MODEL VIEWER

Interact with the key components of the mechanical drive system. Adjust the metallic finish and color to visualize the PBR materials used in the CAD design.

Adjust the metallic sheen (0.0 = Matte, 1.0 = Highly Metallic)

3D Model: Template of a BBS Wheel

PROJECT TEAM

Team Leader: [Team Member 1]
Lead CAD Designer: [Team Member 2]
System Analyst: [Team Member 3]
Testing & Validation: [Team Member 4]
Research & Materials: [Team Member 5]
Documentation: [Team Member 6]

PERFORMANCE RESULTS

The prototype successfully demonstrated multiple repeatable runs powered purely by stored mechanical energy. Key performance indicators met or exceeded initial stability requirements.

Further optimizations in gear ratio selection and friction reduction are expected to improve the maximum achievable distance and energy efficiency in subsequent iterations.