|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Multi-material Additive Manufacturing: Processing and Materials Design
||Meso-scale Design of Heterogeneous Material Systems in Multi-material Additive Manufacturing
||David Garcia, Mackenzie E. Jones, Yunhui Zhu, Hang Z. Yu
|On-Site Speaker (Planned)
Meso-scale heterogeneous material systems are efficient and adaptive to their real world environments, as they are designed to withstand the non-uniform stress fields that result from the convolution of component geometries, loading conditions, and environmental changes. With the development of additive manufacturing, it becomes feasible to manufacture complicated heterogeneous material systems. This unlocks the freedom to design at the meso-scale, a characteristic length scale between the macro-scale geometry and microstructures. To fully take advantage of this manufacturing and design freedom, a new framework to optimize the meso-scale material distribution in multi-material additive manufacturing is needed. Here, we demonstrate such a design framework by incorporating deformation mapping from digital image correlation (DIC) with 3D finite element modeling (FEM)-based computational optimization. The constitutive behavior of the constituent materials is calibrated by matching the local deformation data. Then, the optimal meso-scale material distribution is determined using global optimization algorithms and validated experimentally.
||Planned: Supplemental Proceedings volume