Abstract
Lattice structures provide a unique opportunity to engineer material properties, even those not yet exists in solid materials. Through programmable designs, which can be realized using advanced manufacturing techniques such as 3D printing, customer and design specific material properties can be achieved. We present a method for programming lattice structures by adjusting the positions of nodes along beams (referred to as 'offsets'), while maintaining a fixed lattice topology, incorporating a method to accurately predict the programed lattice structures’ property using machine learning-based algorithms. The flexibility of programming lattice structures by node offsets enables the realization of a broad spectrum of material properties, and combining different topologies further expands this range. The method is s software-based, and therefore low-cost to implement. It is applicable to both lattice and irregular beam-based geometries and is compatible with various 3D printing processes, offering significant potential for material design and customization in additive manufacturing.
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Recommended Citation
INC, HP, "Programmable Functional Lattice Structures", Technical Disclosure Commons, (November 18, 2024)
https://www.tdcommons.org/dpubs_series/7564