|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Integrated Computational Materials Engineering Toolkit to Understand Process-structure-property Relationships of Additively Manufactured Metals
||Matti Lindroos, Napat Vajragupta, Tatu Pinomaa, Abhishek Biswas, Sicong Ren, Tom Andersson, Anssi Laukkanen
|On-Site Speaker (Planned)
This work demonstrates the effective ICME workflow to understand the process-microstructure-property linkage of AM metals. Firstly, melt pool modeling will be performed to predict melt pool temperature distributions, which will be used to simulate microstructure evolution during the AM process with methods like Cellular Automata. We will then create synthetic microstructures of AM using statistical descriptions of microstructural features predicted as input. At the single grain level, we utilize a phase field solidification model coupled with a thermomechanical crystal plasticity, enabling us to assess both intra-grain/polycrystal level dislocation/stress heterogeneities introduced during solidification and residual stresses. In the final step, physics-based crystal plasticity model will be applied to the synthetic microstructures generated from the previous step, and micromechanical simulations will be performed to predict the anisotropic deformation behavior and ultimately damage of AM metals. This aims to significantly reduce time and cost required for AM development with the ICME workflow presented.