Lattice Design and Advanced Modeling to Guide the Design of High-Performance Lightweight Structural Materials

Rongjie Song (), Michael Moorehead, Dewen Yushu and Jia-Hong Ke
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Rongjie Song: Idaho National Laboratory, Idaho Falls, ID 83401, USA
Michael Moorehead: Idaho National Laboratory, Idaho Falls, ID 83401, USA
Dewen Yushu: Idaho National Laboratory, Idaho Falls, ID 83401, USA
Jia-Hong Ke: Idaho National Laboratory, Idaho Falls, ID 83401, USA

Energies, 2024, vol. 17, issue 6, 1-11

Abstract: Lightweight structural materials are required to increase the mobility of fission batteries. The materials must feature a robust combination of mechanical properties to demonstrate structural resilience. The primary objective of this project is to produce lightweight structural materials whose strength-to-weight ratios exceed those of the current widely used structural materials such as 316L stainless steels (316L SS). To achieve this, advanced modeling and simulation tools were employed to design lattice structures with different lattice parameters and different lattice types. A process was successfully developed for transforming lattice-structures models into Multiphysics Object Oriented Simulation Environment (MOOSE) inputs. Finite element modeling (FEM) was used to simulate the uniaxial tensile testing of the lattice-structured parts to investigate the stress distribution at a given displacement. The preliminary results showed that the lattice-structured sample displayed a lower Young’s modulus in comparison with the solid material and that the unit cell size of the lattice had a minimal effect. The novelty here is to apply up-front modeling to determine the best structure for the application before actually producing the sample. The approach of using modeling as a guiding tool for preliminary material design can significantly save time and cost for material development.

Keywords: lightweight; lattice design; finite element modeling; nuclear; fission batteries (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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