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 |
Towards Regulating Internal Temperature Distributions during Powder Bed Fusion Builds using Model Predictive Control |
Author(s) |
Nathaniel Wood, David J. Hoelzle |
On-Site Speaker (Planned) |
Nathaniel Wood |
Abstract Scope |
A large body of literature exists on regulating melt pool width in powder bed fusion (PBF) through feedback control of process parameters like laser power and scan speed. These algorithms dynamically vary the process parameters so that the features track desired trajectories. Deciding appropriate process parameter trajectories is challenging because determining defect-free regimes requires extensive heuristics and experiments. Directly regulating the feature which controls defects, which is oftentimes the temperature field, would be optimal. This paper contributes to this goal. In simulation, we use a feedback control algorithm called Model Predictive Control (MPC) to cause a PBF temperature build, with simplified physics, to track a reference trajectory. At each time step, MPC generates locally-optimal process inputs to correct forecasted discrepancies between the reference trajectory and build temperature in the future. MPC is able to remove 76% of error in tracking a reference temperature field, relative to the process without control. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |