| About this Abstract |
| Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Symposium
|
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Presentation Title |
Hybrid Twin – Combining Physics- and Data-Based Models in a Consistent Digital Thread Spanning the AM Process Chain |
| Author(s) |
Monica Salgueiro, Marcos Diez, Camilo Prieto, Bernardo Freire, Mihail Babcinschi, Mustafa Megahed |
| On-Site Speaker (Planned) |
Mustafa Megahed |
| Abstract Scope |
Despite the generally high computational effort, physics-based models represent efficient tools enabling engineers to forecast material and product behavior. Integrated physics-based models (virtual twin) do however require assumptions to be made when the physics is too cumbersome to represent, is not understood or to account for unknown factors. Data-based models (digital twin) deduced from online monitors and material characterization on the other hand are very quick, capture unknowns and process deviations. The digital twin is however limited to the parameter range for which data is available. Combining the virtual and the digital twins provides researchers and engineers with a hybrid twin capturing the physics as well as the unknowns. This presentation discusses the implications and requirements for the creation of hybrid twins and demonstrates several aspects based on direct energy deposition additive manufacturing. |
| Proceedings Inclusion? |
Definite: Other |