About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
Reducing Part Distortion in Laser Powder Bed Fusion through Data-driven Topology Optimization |
Author(s) |
Praveen S. Vulimiri, Florian Dugast, Shane Riley, Albert C To |
On-Site Speaker (Planned) |
Praveen S. Vulimiri |
Abstract Scope |
Laser powder bed fusion (LPBF) is a popular method to produce complex metal additive manufactured (AM) parts. However, during the process, the laser melting of the metal powder introduces thermal stresses which distort the part from the desired dimensions. If the stress is large, it could lead to cracking, recoater blade crash, or other build failures. A new data-driven model has been developed based on the modified inherent strain method to provide a near instantaneous approximation of the residual stress and strain in a part. The model is used in topology optimization to optimize the part for end use application and constrain the distortion during the build process simultaneously. A computational example of the method will be shown followed by a plan for experimental validation of the method. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |