Session: CIE-14/15-01 CAPPD: Joint Topics
Paper Number: 141866
141866 - Symmetry-Induced Mechanical Metamaterials Design Framework and Dataset Generation
The surge in machine learning research and recent advancements in 3D printing technologies have significantly enriched materials science and engineering, particularly in the domain of mechanical metamaterials, which commonly consist of periodic truss materials. Despite the extensive exploration of their tailorable properties, truss-based metamaterial design has predominantly adhered to cubic and orthotropic unit-cells, a limitation arising from the conventional design method, where the type of symmetry related to the designed truss-based material is determined after the design process is done. To overcome this issue, this work introduces a groundbreaking 3D truss material designing framework that departs from this constraint by employing six distinctive material symmetries (cubic, hexagonal, tetragonal, orthotropic, trigonal, and monoclinic) within the design process. This innovative approach represents a versatile paradigm shift compared to previous design approaches. Furthermore, we are able to integrate anisotropy into the design framework, thus enhancing the property space exploration capability of the proposed design framework. Probing materials property space using our design framework demonstrates its capacity to achieve a diverse range of mechanical properties, surpassing even the most extensive datasets available in the literature. The proposed method facilitates the generation of a comprehensive truss dataset, which can be represented in a trainable continuous format suitable for machine learning and data-driven approaches. This advancement paves the way for the development of robust inverse design tools for truss materials, marking a significant contribution to the mechanical metamaterial community.
Presenting Author: Mohammad Abu-Mualla University of Illinois at Chicago
Presenting Author Biography: Mohammad earned his bachelor's degree in mechanical engineering from the University of Jordan in 2019, receiving the esteemed Victorian Award. This recognition propelled me into the dynamic world of design at JODDB, where he thrived as a land systems design engineer. Inspired by my experience, he pursued a Fulbright scholarship for a master's degree in mechanical engineering, focusing on design. Among only ten chosen from my country from all majors, I embarked on this journey, and he was placed at the University of Illinois Chicago in 2021.
Authors:
Mohammad Abu-Mualla University of Illinois at ChicagoJida Huang University of IIlinois Chicago
Symmetry-Induced Mechanical Metamaterials Design Framework and Dataset Generation
Paper Type
Technical Paper Publication