| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing for Energy Applications II
|
| Presentation Title |
Digital Twins of Additive Manufacturing Processes for the Optimization and Control of Builds |
| Author(s) |
Dayalan R. Gunasegaram, Anthony B Murphy, Patrick O'Toole, Daniel East |
| On-Site Speaker (Planned) |
Daniel East |
| Abstract Scope |
In the end-to-end digitalisation of manufacturing foreseen in an Industry 4.0 economy, machines will be able to act autonomously based on insights developed by artificial intelligence and advanced analytics using a wealth of real-time process data gathered by sensors. For robust decision-making, however, process intelligence that is sufficiently in-depth is required. Such intelligence may be provided by physics-based computational models, which are called ‘digital twins’ (DT) of the processes. Advance knowledge of how a process would unfold will equip the machine to ensure the expensive part is made right first time and every time. This is achieved by using the optimum process parameters suggested by the DT and checking the progress of the build against the optimum path and correcting if it is outside tolerance levels. In this talk, hurdles to the development of the DTs for additive manufacturing processes will be discussed, along with potential solutions to these issues. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |