About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Additive Manufacturing for Energy Applications IV
|
Presentation Title |
Process-aware Design Optimization Methods for Metal Additive Manufacturing |
Author(s) |
Albert To, Praveen S. Vulimiri |
On-Site Speaker (Planned) |
Praveen S. Vulimiri |
Abstract Scope |
This talk will discuss recent advances in process-aware design optimization methods for metal additive manufacturing (AM) techniques including laser powder bed fusion (L-PBF), binder jetting, and wire-arc additive manufacturing (WAAM). These methods have been developed for designing support structures, build orientation, scanning path, and deformation compensation. The key novelty in these methods lies in the formulation of the modified inherent strain model which enables fast and accurate prediction of part-scale residual stress and deformation resulting from laser processing. The new model accounts for the interlayer effect on the redistribution of the inherent strains during AM processing. The proposed model reduces simulation time significantly, thus making it practical to perform process-aware topology optimization. Through both simulations and experiments, the design optimization methods developed are shown to not only reduce residual stress and deformation, but also prevent cracking and build failure in various test cases. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Modeling and Simulation, |