| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Processing Fundamentals
|
| Presentation Title |
Automatic Process Mapping for Ti64 Single Tracks in Laser Powder Bed Fusion |
| Author(s) |
Toby Wilkinson, Massimiliano Casata, Daniel Barba |
| On-Site Speaker (Planned) |
Toby Wilkinson |
| Abstract Scope |
Traditional process optimisation for metal laser powder bed fusion (LPBF) often involves significant labour time including machine set up, cleaning or microstructural quantification. This problem is even more acute in the development of new alloys, when the material wastage during process optimisation presents a serious barrier for new AM-orientated designed alloys. All these barriers are limiting the progress of LPBF, preventing the full exploitation of this technology.
This work tackles this problem and investigates the feasibility of using machine learning and surrogate modelling methods combined with powder-free methodologies to significantly reduce the time and material required to discover the optimal processing window for new alloys. As well as optimising for the final density and microstructure of the 3D material, this method also quantifies the stability of the single tracks and its effect on the final part quality. The developed framework is validated using Ti6Al4V and a novel beta-titanium alloy. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Machine Learning, Process Technology |