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Eraianbu Sundaram

BD2008

Exploring the Potential of Growth Systems in Design

Nature is remarkable in creating mesmerising and complex forms but these forms are not just visually stunning, they are shaped by evolution for a specific purpose and function. This project explores the potential of these natural forms in design by simulating growth systems through computational methods. By understanding and applying the underlying principles behind nature’s formations, the project aims to generate technically and visually compelling forms for use in design.


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Natural Growth Systems have evolved to grow the optimal geometry required for specific scenarios. Can we digitally simulate them?

Establishing the rules for the algorithm by mimicking how flowers grow.

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Traditional Grasshopper scripting can only go so far in developing a complex algorithm like such.

The code was written in the C# language on Microsoft Visual Studio.

The above demonstration shows an example of the Differential Growth Systems potential for developing shock absorbing geometries.

The above demonstration shows an example of the Differential Growth Systems potential for developing heat transferring geometries.

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Evolutionary Iterative Process done using Wallacei.

The algorithm had to be further developed to adapt to a specific fabrication process.