Description
Currently, popular research topics in engineering are the application of Digital Twins, Data Analytics, Uncertainty Quantification and Artificial Intelligence. Incorporating such topics in the field of sheet metal forming requires a fundamental change to the established way of working, which is strongly based on the development of accurate simulation models.In recent decades, remarkable improvements have been made in all aspects of metal forming simulation: finite element analysis reached a mature state and accurate material models for anisotropic plastic deformation have been developed, as well as advanced friction models, often calibrated by micro-scale analysis. Furthermore, considerable progress has been made in the modelling of damage and fracture. Building on sufficiently accurate simulation models, mathematical optimization procedures have been developed to optimize tooling dimensions and process settings and to compensate for unavoidable variations in material properties and process conditions.
While the conventional way of working is focused on improving model accuracy in the design stage for making better design choices, new data-driven approaches ask for taking these models to the production stage, to enhance process monitoring and control. This presentation will connect the new buzz-words to the established way of working in sheet metal forming simulation and optimization and show directions to take advantage of these developments.
| Period | 12 Mar 2024 |
|---|---|
| Event title | 43rd Conference of the International Deep Drawing Research Group, IDDRG 2024 |
| Event type | Conference |
| Conference number | 43 |
| Location | Melbourne, Australia, VictoriaShow on map |
| Degree of Recognition | International |
Keywords
- Forming
- Data analysis
- Artificial intelligence
- Modeling