| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Optimization of Computational Time for Digital Twin Database in Directed Energy Depostion for Residual Stresses |
| Author(s) |
Usman Tariq, Ranjit Joy, Sung-Heng Wu, Muhammad Arif Mahmood, Michael M Woodworth, Frank Liou |
| On-Site Speaker (Planned) |
Usman Tariq |
| Abstract Scope |
Metal Additive Manufacturing has grown rapidly and proven to be a cost-effective way to produce high-quality products. As metal additive manufacturing involves large thermal gradients which incorporate residual stresses and distortion at the end part hence having knowledge of these properties is essential for quality control. Finite Element Analysis (FEA) is one of the methods to predict for residual stresses to improve part quality and strength at the cost of high computational power. The aim of this study is to decrease computational time by incorporating thermo-mechanical model for Directed Energy Deposition (DED) process using Ti-6V-4Al which would predict thermal history and consequent residual stresses. Different methods of FEA models are included which use simple assumptions and gives a comparison between computational cost and numerical accuracy which can help move towards the realization of digital twin. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |