Examining the impact of asymmetry in lattice-based mechanical metamaterials. (September 2022)

• Record Type: Journal Article
• Authors: Srivatsa, Srikar; Kumar, Roshan Suresh; Selva, Daniel; Silberstein, Meredith N.
• Is Part Of: Mechanics of materials. Volume 172(2022)
• Publication Date: 2022-09
• Subjects: Mechanical metamaterials -- Elasticity tensor -- Asymmetric metamaterials -- Generative design; Strength of materials -- Periodicals; Mechanics, Applied -- Periodicals; Résistance des matériaux -- Périodiques; Mécanique appliquée -- Périodiques; Mechanics, Applied; Strength of materials; Periodicals; Electronic journals; 620.11
• DOI: 10.1016/j.mechmat.2022.104386
• Languages: English
• ISSNs: 0167-6636

Abstract

Abstract: Lattice-based mechanical metamaterials can be tailored for a wide variety of applications by modifying the underlying mesostructure. However, most existing lattice patterns take symmetry as a starting point. We show that asymmetric lattice patterns can be more likely to have certain mechanical properties than symmetric lattice patterns. To directly compare the effects of asymmetric versus symmetric lattice arrangements, a constrained design space is defined. A generative design process is used to generate both symmetric and asymmetric lattice patterns within the design space. Asymmetric lattice patterns are shown to have distinct metamaterial property spaces from symmetric lattice patterns. Key design features are identified that are present predominantly in asymmetric lattice patterns. We show that asymmetric lattice patterns with two of these features ( arrows and spider nodes ) are more likely to induce a broader range of Poisson's ratios and larger shear stiffness values, respectively, compared to lattice patterns without these features. In addition, we show that symmetry can play a role in hampering the impact of multiple features when present. This work provides insights into the benefits of using asymmetric lattice patterns in select metamaterial design applications. Highlights: Role of asymmetry in lattice-based metamaterials on stiffness tensor investigated. Generative design coupled with statistical tests produces representative population. Asymmetric property spaces distinct from symmetric property spaces. Design features, most prevalent in asymmetric designs, influence property spaces.