Multimode Metastructures: Novel Hybrid 3D Lattice Topologies

Technical Report · Wed Sep 01 04:00:00 EDT 2021

DOI:https://doi.org/10.2172/1819411· OSTI ID:1819411

Boyce, Brad L. ^[1]; Garland, Anthony P. ^[1]; White, Benjamin C. ^[1]; Jared, Bradley H. ^[1]; Conway, Kaitlynn ^[1]; Adstedt, Katerina ^[1]; Dingreville, Remi ^[1]; Robbins, Joshua ^[1]; Walsh, Timothy ^[1]; Ruggles, Timothy ^[1]; Branch, Brittany ^[1]; Kaehr, Bryan ^[1]; Kunka, Cody ^[1]; Leathe, Nicholas ^[1]; Alvis, Timothy ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

With the rapid proliferation of additive manufacturing and 3D printing technologies, architected cellular solids including truss-like 3D lattice topologies offer the opportunity to program the effective material response through topological design at the mesoscale. The present report summarizes several of the key findings from a 3-year Laboratory Directed Research and Development Program. The program set out to explore novel lattice topologies that can be designed to control, redirect, or dissipate energy from one or multiple insult environments relevant to Sandia missions, including crush, shock/impact, vibration, thermal, etc. In the first 4 sections, we document four novel lattice topologies stemming from this study: coulombic lattices, multi-morphology lattices, interpenetrating lattices, and pore-modified gyroid cellular solids, each with unique properties that had not been achieved by existing cellular/lattice metamaterials. The fifth section explores how unintentional lattice imperfections stemming from the manufacturing process, primarily sur face roughness in the case of laser powder bed fusion, serve to cause stochastic response but that in some cases such as elastic response the stochastic behavior is homogenized through the adoption of lattices. In the sixth section we explore a novel neural network screening process that allows such stocastic variability to be predicted. In the last three sections, we explore considerations of computational design of lattices. Specifically, in section 7 using a novel generative optimization scheme to design novel pareto-optimal lattices for multi-objective environments. In section 8, we use computational design to optimize a metallic lattice structure to absorb impact energy for a 1000 ft/s impact. And in section 9, we develop a modified micromorphic continuum model to solve wave propagation problems in lattices efficiently.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: NA0003525
• OSTI ID: 1819411
• Report Number(s): SAND2021-11042; 699190
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
42 ENGINEERING