About this Abstract |
Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
Presentation Title |
Improving Part Quality in Laser Powder Bed Fusion using Model-based Feedforward Control of Thermal History |
Author(s) |
Alexander R. Riensche, Benjamin Bevans, Ziyad Smoqi, Reza Yavari, Prahalada K. Rao, Ajay Krishnan |
On-Site Speaker (Planned) |
Prahalada K. Rao |
Abstract Scope |
In this work we improved the laser powder bed fusion part (e.g., reducing microstructure, geometrical accuracy, distortion, and swelling) solely by modifying the thermal history of components being built. We demonstrated the viability of this approach through two builds with one acting as a control and the other with thermal history modification. The thermal history modifications were executed in a feed-forward manner, by leveraging the results of a fast graph theory-based thermal modeling approach and real-time IR camera data to modify process parameters. |
Proceedings Inclusion? |
Undecided |