Computational design of mechanical metamaterials through misaligned periodic microstructure

Mechanical metamaterials, with their intricately designed microstructures, exhibit properties that are superior to those of natural materials. Computational optimization, which uses finite element analysis of periodic microstructures, enables the design of architected microstructures to achieve desi...

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Published inMaterials & design Vol. 253; p. 113819
Main Authors Zhou, Jiaxin, Watanabe, Ikumu, Kambayashi, Keita
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.2025
Elsevier
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Abstract Mechanical metamaterials, with their intricately designed microstructures, exhibit properties that are superior to those of natural materials. Computational optimization, which uses finite element analysis of periodic microstructures, enables the design of architected microstructures to achieve desired macroscopic properties. Traditionally, unit cells are defined within cuboidal domains; however, this study extends the design to parallelepiped domains, significantly expanding design possibilities. This study investigates the influence of geometric design domains on the topology optimization of negative Poisson's ratio (NPR) metamaterials. Using the mathematical homogenization method, unit cells within parallelogram or parallelepiped domains are represented within square or cubic domains under misaligned periodic boundary conditions. This approach enables the manipulation of macroscopic elastic stiffness components while maintaining the solid volume fraction. A comparative analysis was performed to examine the geometric characteristics of optimized microstructures and the resulting macroscopic anisotropy under both standard and misaligned periodic boundary conditions. 3D-printed NPR metamaterials were tested to validate the design. The results demonstrate the effectiveness of the computational design method in generating diverse microstructures with misalignment, opening new avenues for designing NPR metamaterials with enhanced properties. •Extended topology optimization for designing metamaterial microstructures under misaligned periodic boundary conditions.•Investigated misalignment in periodic boundary conditions as a design variable for microstructure tailoring.•Designed and experimentally validated 3D negative Poisson's ratio metamaterials.
AbstractList Mechanical metamaterials, with their intricately designed microstructures, exhibit properties that are superior to those of natural materials. Computational optimization, which uses finite element analysis of periodic microstructures, enables the design of architected microstructures to achieve desired macroscopic properties. Traditionally, unit cells are defined within cuboidal domains; however, this study extends the design to parallelepiped domains, significantly expanding design possibilities. This study investigates the influence of geometric design domains on the topology optimization of negative Poisson's ratio (NPR) metamaterials. Using the mathematical homogenization method, unit cells within parallelogram or parallelepiped domains are represented within square or cubic domains under misaligned periodic boundary conditions. This approach enables the manipulation of macroscopic elastic stiffness components while maintaining the solid volume fraction. A comparative analysis was performed to examine the geometric characteristics of optimized microstructures and the resulting macroscopic anisotropy under both standard and misaligned periodic boundary conditions. 3D-printed NPR metamaterials were tested to validate the design. The results demonstrate the effectiveness of the computational design method in generating diverse microstructures with misalignment, opening new avenues for designing NPR metamaterials with enhanced properties. •Extended topology optimization for designing metamaterial microstructures under misaligned periodic boundary conditions.•Investigated misalignment in periodic boundary conditions as a design variable for microstructure tailoring.•Designed and experimentally validated 3D negative Poisson's ratio metamaterials.
Mechanical metamaterials, with their intricately designed microstructures, exhibit properties that are superior to those of natural materials. Computational optimization, which uses finite element analysis of periodic microstructures, enables the design of architected microstructures to achieve desired macroscopic properties. Traditionally, unit cells are defined within cuboidal domains; however, this study extends the design to parallelepiped domains, significantly expanding design possibilities. This study investigates the influence of geometric design domains on the topology optimization of negative Poisson's ratio (NPR) metamaterials. Using the mathematical homogenization method, unit cells within parallelogram or parallelepiped domains are represented within square or cubic domains under misaligned periodic boundary conditions. This approach enables the manipulation of macroscopic elastic stiffness components while maintaining the solid volume fraction. A comparative analysis was performed to examine the geometric characteristics of optimized microstructures and the resulting macroscopic anisotropy under both standard and misaligned periodic boundary conditions. 3D-printed NPR metamaterials were tested to validate the design. The results demonstrate the effectiveness of the computational design method in generating diverse microstructures with misalignment, opening new avenues for designing NPR metamaterials with enhanced properties.
ArticleNumber 113819
Author Zhou, Jiaxin
Watanabe, Ikumu
Kambayashi, Keita
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  givenname: Ikumu
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Keywords Finite element method
Topology optimization
Microstructure design
Negative Poisson's ratio
Mechanical metamaterials
Misaligned periodicity
Language English
License This is an open access article under the CC BY-NC license.
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– volume: 173
  year: 2022
  ident: 10.1016/j.matdes.2025.113819_br0230
  article-title: Bio-inspired auxetic mechanical metamaterials evolved from rotating squares unit
  publication-title: Mech. Mater.
  doi: 10.1016/j.mechmat.2022.104421
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Snippet Mechanical metamaterials, with their intricately designed microstructures, exhibit properties that are superior to those of natural materials. Computational...
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elsevier
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Index Database
Publisher
StartPage 113819
SubjectTerms Finite element method
Mechanical metamaterials
Microstructure design
Misaligned periodicity
Negative Poisson's ratio
Topology optimization
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  priority: 102
  providerName: Elsevier
Title Computational design of mechanical metamaterials through misaligned periodic microstructure
URI https://dx.doi.org/10.1016/j.matdes.2025.113819
https://doaj.org/article/6f40eb306d8c479ab4aeb74c2db2b298
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