Scaffolding Generation using a 3D Physarum Polycephalum Simulation
Graphics
2022-12-23 v1
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.
Cite
@article{arxiv.2212.11527,
title = {Scaffolding Generation using a 3D Physarum Polycephalum Simulation},
author = {Drew Ehrlich and Milad Hakimshafaei and Oskar Elek},
journal= {arXiv preprint arXiv:2212.11527},
year = {2022}
}
Comments
Presented in the demo session at the ACM Symposium on Computational Fabrication 2022 on October 27, 2022 in Seattle, WA