Unknown

Dataset Information

Regenerative Topology Optimization of Fine Lattice Structures.


ABSTRACT: We present a generative approach for creating three-dimensional lattice structures optimized for mass and deflection composed of thousands of one-dimensional strut primitives. Our approach draws inspiration from topology optimization principles. The proposed method iteratively determines unnecessary lattice struts through stress analysis, erodes those struts, and then randomly generates new struts across the entire structure. The objects resulting from this distributed optimization technique demonstrate high strength-to-weight ratios that are at par with state-of-the-art topology optimization approaches, but are qualitatively very different. We use a dynamics simulator that allows optimization of structures subject to dynamic load cases, such as vibrating structures and robotic components.

SUBMITTER: Wyetzner SDT 

PROVIDER: S-EPMC10133984 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature