About this Abstract |
Meeting |
TMS Specialty Congress 2024
|
Symposium
|
Accelerating Discovery for Mechanical Behavior of Materials 2024
|
Presentation Title |
Optimizing the Mechanical Performance of Interlocking Metamaterials for Extreme Environments |
Author(s) |
Philip Noell, Brad Boyce, Benjamin Young, Ophelia Bolmin, Nathan Brown |
On-Site Speaker (Planned) |
Philip Noell |
Abstract Scope |
Interlocking metasurfaces (ILMs), a newly developed class of joining technology, aim to overcome challenges inherent to conventional joining technologies and enable novel joint functionalities. ILMs are structural metamaterials that consist of autogenous latching features, similar to those observed cervid antlers. Because the mechanical performance ILMs is a strong function of unit cell topology and interaction, intelligent ILM design presents a significant challenge, particularly for complex environments. This work presents data-driven and machine-learning based design methodologies for ILMs that are widely applicable to metamaterial design. The mechanical performance of ILMs designed using both intuitive and data-driven techniques in a range of environments will also be discussed. Synergistic strengthening and frictional interactions between unit cells provide dampening of vibration, increased fracture toughness compared to the base material, and significant increases in strength compared to simple “snap-fit” joints. SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525. |
Proceedings Inclusion? |
Definite: Other |