Mechanical metamaterials are the subcategory of designer materials whose distinctive macroscopic properties (e.g., auxeticity also known as negative Poisson’s ratio) and functionalities (e.g., shape matching or shape shifting) originate from the rational design of their microarchitectures. Devising the geometries and topological designs of mechanical metamaterials is thus the first step to the successful development of these advanced engineering materials. However, finding unique and novel geometries that lead&nbsp;to such an unprecedented property is often quite challenging and require tedious computational or experimental investigations. Here, we present approaches to use multiple materials (e.g., hard and soft) and randomness (i.e., both in microarchitecture and distributions of material properties) as powerful design tools to increase the range of possible elastic mechanical properties (i.e., Poisson's ratio and elastic stiffness) and functionalities of the cellular mechanical metamaterials. That includes developing advanced computational models that are able to design and analyze effectively and rapidly millions of spatial configurations of different materials and microarchitectures in our structures. We also designed and developed porotypes using advanced multi-materials additive manufacturing (also know as 3D printing) to justify our approach. The proposed approach has several potential applications in designing medical devices including biomedical implants and prosthesis.

Randomness in Mechanical Metamaterials

Paper Proceedings: https://asmedigitalcollection.asme.org/IDETC-CIE/IDETC-CIE2021/volume/85369

ASME 2021 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2021)

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