ACS Applied Engineering Materials · 2023 · 12 citations · 52 references
Natural SciencesMaterials EngineeringMaterials ScienceComputational Materials ScienceFunctional MaterialsMechanical DesignComputational Solid MechanicsEvolutionary OptimizationLattice SymmetryShear PropertiesGenetic Algorithm Based DesignGenetic Algorithm OptimizationHexagonal SymmetryMetamaterialsShear ResistanceShear Yield StrengthSpecific StiffnessStiffness
High Resolution Image Download MS PowerPoint Slide In this paper, we present an emerging class of cubically symmetric mechanical metamaterials based on 3-space geometrical shadows of 4th-dimensional geometries (4-polytopes) that are optimized for high shear resistance and minimized weight. We show that by employing a genetic algorithm-based optimization framework, the mechanical metamaterials can achieve an increase of more than 40-fold in their specific shear properties. Experimental results reveal that the metamaterial structure with the highest specific shear resistance, the 5-cell (pentatope), exhibits specific shear stiffness that is almost 2-fold higher than that of a gyroid, while the 8-cell (tesseract) structure exhibits the highest specific shear yield strength that is 2.4 times higher than that of a hexagonal honeycomb tested in the out-of-plane direction.
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