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.
翻译:在这个演示中,我们展示了一种新颖的技术,用于使用蒙特卡洛算法,根据Physarum 聚性脑膜粘液模子的繁殖行为,对3D印刷品使用近乎在地表学上最优化的脚架。作为案例研究,我们利用这种设计能有效抵御撞击的技术,创建了生物启发型自行车头盔。我们创建了这一头盔的原型,并提议进行进一步的研究,以衡量设计的有效性和有效性。