Anisotropic design and optimization of conformal gradient lattice structures

In this work, we present a novel anisotropic lattice structure design and multi-scale optimization method that can generate conformal gradient lattice structures (CGLS). The goal of optimization is to achieve gradient density, adaptive orientation and variable scale (or periodic) lattice structures...

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Published inComputer aided design Vol. 119; p. 102787
Main Authors Li, Dawei, Liao, Wenhe, Dai, Ning, Xie, Yi Min
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ltd 01.02.2020
Elsevier BV
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Abstract In this work, we present a novel anisotropic lattice structure design and multi-scale optimization method that can generate conformal gradient lattice structures (CGLS). The goal of optimization is to achieve gradient density, adaptive orientation and variable scale (or periodic) lattice structures with the highest mechanical stiffness. The asymptotic homogenization method is employed for the calculation of the mechanical properties of various lattice structures. And an equation of elastic tensor and relative density of the unit cell is established. The established function above is then considered in the numerical optimization schemes. In the post-processing, we propose a numerical projecting method based on Fourier transform, which can synthesize conformal gradient lattice structure without changing the size and shape of the unit cells. Besides, the algorithm allows us to minimize distortion and prevent defects in the final lattice and keep the lattice structures smooth and continuous. Finally, in comparison with different parameters and methods are performed to demonstrate the superiority of our proposed method. The results show that the optimized anisotropic conformal gradient lattice structures are much stiffer and exhibit better structural robustness and buckling resistance than the uniform and the directly mapped designs. [Display omitted] •An anisotropic design and optimization method is proposed for conformal gradient lattice structures.•The optimized lattice structures exhibit conformal gradient density, adaptive orientation, variable period.•These anisotropic conformal lattice structures are much stiffer than uniform and directly mapped designs.
AbstractList In this work, we present a novel anisotropic lattice structure design and multi-scale optimization method that can generate conformal gradient lattice structures (CGLS). The goal of optimization is to achieve gradient density, adaptive orientation and variable scale (or periodic) lattice structures with the highest mechanical stiffness. The asymptotic homogenization method is employed for the calculation of the mechanical properties of various lattice structures. And an equation of elastic tensor and relative density of the unit cell is established. The established function above is then considered in the numerical optimization schemes. In the post-processing, we propose a numerical projecting method based on Fourier transform, which can synthesize conformal gradient lattice structure without changing the size and shape of the unit cells. Besides, the algorithm allows us to minimize distortion and prevent defects in the final lattice and keep the lattice structures smooth and continuous. Finally, in comparison with different parameters and methods are performed to demonstrate the superiority of our proposed method. The results show that the optimized anisotropic conformal gradient lattice structures are much stiffer and exhibit better structural robustness and buckling resistance than the uniform and the directly mapped designs.
In this work, we present a novel anisotropic lattice structure design and multi-scale optimization method that can generate conformal gradient lattice structures (CGLS). The goal of optimization is to achieve gradient density, adaptive orientation and variable scale (or periodic) lattice structures with the highest mechanical stiffness. The asymptotic homogenization method is employed for the calculation of the mechanical properties of various lattice structures. And an equation of elastic tensor and relative density of the unit cell is established. The established function above is then considered in the numerical optimization schemes. In the post-processing, we propose a numerical projecting method based on Fourier transform, which can synthesize conformal gradient lattice structure without changing the size and shape of the unit cells. Besides, the algorithm allows us to minimize distortion and prevent defects in the final lattice and keep the lattice structures smooth and continuous. Finally, in comparison with different parameters and methods are performed to demonstrate the superiority of our proposed method. The results show that the optimized anisotropic conformal gradient lattice structures are much stiffer and exhibit better structural robustness and buckling resistance than the uniform and the directly mapped designs. [Display omitted] •An anisotropic design and optimization method is proposed for conformal gradient lattice structures.•The optimized lattice structures exhibit conformal gradient density, adaptive orientation, variable period.•These anisotropic conformal lattice structures are much stiffer than uniform and directly mapped designs.
ArticleNumber 102787
Author Li, Dawei
Xie, Yi Min
Liao, Wenhe
Dai, Ning
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  givenname: Wenhe
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  givenname: Ning
  surname: Dai
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  organization: College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
– sequence: 4
  givenname: Yi Min
  surname: Xie
  fullname: Xie, Yi Min
  organization: Centre for Innovative Structures and Materials, School of Engineering, RMIT University, GPO Box 2476, Melbourne 3001, Victoria, Australia
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Lattice optimization
Synthesize algorithm
Multi-scale optimization
Anisotropic design
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Snippet In this work, we present a novel anisotropic lattice structure design and multi-scale optimization method that can generate conformal gradient lattice...
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StartPage 102787
SubjectTerms Algorithms
Anisotropic design
Anisotropy
Asymptotic methods
Conformal lattice
Density
Design optimization
Fourier transforms
Lattice design
Lattice optimization
Mechanical properties
Multi-scale optimization
Multiscale analysis
Optimization
Post-production processing
Robustness (mathematics)
Stiffness
Synthesize algorithm
Tensors
Unit cell
Title Anisotropic design and optimization of conformal gradient lattice structures
URI https://dx.doi.org/10.1016/j.cad.2019.102787
https://www.proquest.com/docview/2329280571
Volume 119
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