OPTIMIZT - Generative Design Optimization for Additive Manufacturing

A concept bottle holder that pushes the boundaries of additive manufacturing through advanced 3D simulation and generative design optimization, prioritizing both form and function.

Objective

The objective was to explore generative design optimization processes for additive manufacturing by creating a functional bottle holder that balances structural efficiency with aesthetic innovation. This project focused on leveraging advanced 3D simulation technology to optimize material distribution while ensuring maximum functionality and user experience through close collaboration between design and engineering disciplines.

Responsibilities

• Led the complete design and optimization process from initial concept through final 3D printed prototype.

• Applied advanced 3D simulation technology to analyze structural performance under real-world conditions including gravity, weight, and mechanical stresses.

• Developed generative design algorithms that optimize material distribution while maintaining structural integrity and functionality.

Challenges

• Balancing structural efficiency with aesthetic appeal while pushing the limits of additive manufacturing technology.

• Ensuring the optimized design remained manufacturable and practical for real-world use.

• Integrating multiple simulation parameters including gravity, weight, and mechanical properties into a cohesive optimization process.

Results

• Successfully delivered a functional prototype that demonstrates the potential of generative design optimization for everyday objects.

• Created a design process framework that bridges engineering simulation with creative design exploration.

• Validated the feasibility of using advanced simulation technology for optimizing consumer products in additive manufacturing.