| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing of Large-scale Metallic Components
|
| Presentation Title |
Quantifying the Influence of Plastic Anisotropy on the Prediction of Residual Stress and Distortion of Large Scale Additively Manufactured 316L Stainless Steel |
| Author(s) |
Jason Mayeur, Yousub Lee, Yukinori Yamamoto, Andrzej Nycz |
| On-Site Speaker (Planned) |
Jason Mayeur |
| Abstract Scope |
Accurate modeling of residual stress and distortion in additive manufacturing processes is important for predicting part quality and process optimization. In this study, we use crystal plasticity simulations to calculate parameters for an anisotropic and temperature-dependent yield surface for 316L SS produced by the wire + arc additive process. Materials produced by this process have large grain structures and sharp crystallographic textures, which leads to a spatially fluctuating and anisotropic mechanical response throughout the part. This anisotropy is not typically accounted for in thermo-mechanical process models. The crystal plasticity model is used to generate the data for fitting of the macroscale yield surface parameters through computational homogenization. Process model simulations are carried out using the anisotropic plasticity model and residual stress and distortion predictions are compared to those obtained using an isotropic and spatially homogeneous plasticity model. |
| Proceedings Inclusion? |
Planned: |