Design and optimization of functionally-graded triangular lattices for multiple loading conditions

Aligning lattice infills with the principal stress directions in loaded objects is crucial for improving stiffness. However, this principle only works for a single loading condition, where the stress field in 2D is described by two orthogonal principal stress directions. In this paper, we introduce a novel approach for designing and optimizing triangular lattice structures to accommodate multiple loading conditions, i.e., multiple stress fields need to be considered. Our method comprises two main steps: homogenization-based topology optimization and geometry-based de-homogenization. To ensure geometric regularity of the triangular lattices, we propose a simplified version of the general rank-3 laminate and parameterize the design domain using equilateral triangles with unique edge thickness. During optimization, edge thicknesses and orientations are adjusted based on the homogenized properties of the lattice. Our numerical findings demonstrate that this simplification introduces only a slight decrease in stiffness of less than 5% compared to using the general rank-3 laminate, and results in lattice structures with compelling geometric regularity. For geometry-based de-homogenization, we adopt a field-aligned triangulation approach to generate a globally consistent triangle mesh in which each triangle is oriented according to the optimized orientation field. Our approach for handling multiple loading conditions, akin to de-homogenization techniques for single loading conditions, yields highly detailed, optimized and spatially varying lattice structures. The method is computationally efficient, as simulations and optimizations are conducted at a low-resolution discretization of the design domain. Furthermore, since our approach is geometry-based, obtained structures are encoded into a compact geometric format that facilitates downstream operations such as editing and fabrication.

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Publication Details

Journal
Computer Methods in Applied Mechanics and Engineering
Published
2024-09-02
DOI
https://doi.org/10.1016/j.cma.2024.117335
Citations
6
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
1.57

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article

Design and optimization of functionally-graded triangular lattices for multiple loading conditions

Jun Wu, Rüdiger Westermann, Junpeng Wang, Xifeng Gao
6 citations
Computer Methods in Applied Mechanics and Engineering
Topology Optimization in Engineering
1.57
article

Design and optimization of functionally-graded triangular lattices for multiple loading conditions

Jun Wu, Rüdiger Westermann, Junpeng Wang, Xifeng Gao
article en
6 citations

Abstract

Aligning lattice infills with the principal stress directions in loaded objects is crucial for improving stiffness. However, this principle only works for a single loading condition, where the stress field in 2D is described by two orthogonal principal stress directions. In this paper, we introduce a novel approach for designing and optimizing triangular lattice structures to accommodate multiple loading conditions, i.e., multiple stress fields need to be considered. Our method comprises two main steps: homogenization-based topology optimization and geometry-based de-homogenization. To ensure geometric regularity of the triangular lattices, we propose a simplified version of the general rank-3 laminate and parameterize the design domain using equilateral triangles with unique edge thickness. During optimization, edge thicknesses and orientations are adjusted based on the homogenized properties of the lattice. Our numerical findings demonstrate that this simplification introduces only a slight decrease in stiffness of less than 5% compared to using the general rank-3 laminate, and results in lattice structures with compelling geometric regularity. For geometry-based de-homogenization, we adopt a field-aligned triangulation approach to generate a globally consistent triangle mesh in which each triangle is oriented according to the optimized orientation field. Our approach for handling multiple loading conditions, akin to de-homogenization techniques for single loading conditions, yields highly detailed, optimized and spatially varying lattice structures. The method is computationally efficient, as simulations and optimizations are conducted at a low-resolution discretization of the design domain. Furthermore, since our approach is geometry-based, obtained structures are encoded into a compact geometric format that facilitates downstream operations such as editing and fabrication.

Computer Methods in Applied Mechanics and EngineeringVol. 432
Light Sciences Oncology (United States) (US), Technical University of Munich (DE), Delft University of Technology (NL)
Deutsche Forschungsgemeinschaft, Danmarks Tekniske Universitet
Sustainable cities and communities
Openalex Percentile: Top 19%
Topology Optimization in Engineering
1.57
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