High-entropy lattice inspired Voronoi mechanical metamaterial

Inspired by the lattice distortion in high-entropy alloys (HEAs), this study presents a generative Voronoi mechanical metamaterial approach that enables continuous, quantitative tuning of topological disorder. In this method, the physical domain of the target structure is utilized to directly define the boundaries of the Voronoi lattice, making this generative approach highly applicable to various complex components. By introducing a pseudo-random displacement field into perfectly ordered nodal networks, we define a dimensionless lattice distortion index to quantify the deviation of Voronoi lattices from an ordered crystalline state to a lattice distorted and topologically disordered state. In situ compression testing shows how this progressive disorder governs the mechanical response. This method also offers a potential approach to describing Voronoi mechanical metamaterials using pseudo-random seed parameters, enabling the decoupling of mechanical properties from specific architectural configurations at the same degree of lattice distortion. Furthermore, it provides implicit anti-counterfeiting encoded in its generation processes and simplifies the information that needs to be stored to reproduce a specific structure.