Scaffolding Generation using a 3D Physarum Polycephalum Simulation

TL;DR

This paper introduces a novel biologically inspired Monte Carlo algorithm based on Physarum polycephalum for generating topologically optimal scaffolds in 3D printing, demonstrated through a bicycle helmet prototype.

Contribution

It presents a new simulation-based method for scaffold generation in 3D printing inspired by slime mold behavior, with a practical application in impact-resistant helmet design.

Findings

Created a biologically inspired bicycle helmet prototype

Demonstrated the effectiveness of the scaffold generation technique

Proposed further studies for validation and improvement

Abstract

In this demo, we present a novel technique for approximating topologically optimal scaffoldings for 3D printed objects using a Monte Carlo algorithm based on the foraging behavior of the Physarum polycephalum slime mold. As a case study, we have created a biologically inspired bicycle helmet using this technique that is designed to be effective in resisting impacts. We have created a prototype of this helmet and propose further studies that measure the effectiveness and validity of the design.