About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
Advances in the Modeling of Additive Manufacturing Process Simulation |
Author(s) |
Nipun Wijesinghe, Ajit Achuthan |
On-Site Speaker (Planned) |
Nipun Wijesinghe |
Abstract Scope |
Determining optimal process parameters that mitigate residual stress formation and part distortion can be achieved by using finite element analysis (FEA) based models to simulate additive manufacturing (AM) processes of metal parts and predict the residual stress and strain distributions accurately. However, existing FEA techniques are either accurate only at a very high computational cost, as in the case of process-based models, or if fast then inaccurate, as is the case for inherent strain-based models. To address these issues, we developed a new FEA framework where discretized geometries are introduced at regular intervals allowing for more flexible mesh coarsening. Additionally, we developed a hybrid approach where spatial and temporal resolution of the field solutions over different regions of the part are selectively controlled depending on the expected stress gradients. Together, these approaches resulted in substantial enhancement in computational efficiency without compromising solution accuracy. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |