|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Flexibly Tunable Yet Strong Gear-based Mechanical Metamaterials
||Peter Gumbsch, Xin Fang, Jihong Wen, Li Cheng, Dianlong Yu, Hongjia Zhang
|On-Site Speaker (Planned)
Adaptive robotics and other mission orineted engineering applications often seek materials with tunable elasticity, a property that conventional materials cannot offer. Though possible in reconfigurable metamaterials, continuous tunability in existing designs is plagued by structural instability and plastic failure. Here, we present an innovative metamaterial design using gears with encoded stiffness gradients as the constituent elements, and organizing gear clusters for various functions. The design enables continuous yet tunable elastic properties while preserving stability and robust rotational maneuverability, even under heavy load. Such gear-based metamaterials enable unprecedented properties like the modulation of Young’s modulus by two orders of magnitude, and morphing shape between fluid-like and solid states. This allows customizing metamaterials and brings fully programmable materials and adaptive robots within reach.
||Mechanical Properties, Characterization, Modeling and Simulation