During the two-day conference, the following topics will be discussed
- Potentials and weaknesses of artificial intelligence and deep learning (DL) systems
- Solving the problem of small data sets
- DL vs. classical machine learning
- Data generation using FEM
- Experiments with self-learning evaluation methods
- Eddy current based measurement of material properties
- Evaluation of nonlinear strain path influences on FLC
- Validation of yield locus models
- Digital best fit constitutive models
- Selection of best fit yield loci
- Validation of normality rules
- Implementation of complex constitutive models
- Development of digital twins
- Virtual description of complex forming processes
- Influence of stochastic parameters
- Metamodeling techniques
- Visualization of process limits
- Digital assistant for the real tryout
- Twin-based prediction of best practice tool correction strategies
- Prediction of sensitivities
- Best selection of hardware components
- Control strategies for smart processes
- Self-learning quality control
- Optical detection of surface defects