Design, Optimization, Inverse Methods and Uncertainties in Forming Processes
This minisymposium is devoted to a large scope of methods aimed at identifying
and to optimizing the parameters that affect the result of forming process These
will include identification, sensitivity analysis and optimization methodologies
with full-scale and reduced-order models. The topics will cover design of computer
experiments, response-surface methodology, local gradient-based and global mono
and multi-objective minimization algorithms. A special attention will be paid
to uncertainty modeling, propagation and reliability-based design optimization.
The presented methods will be illustrated on the literature benchmarks and with
real-life industrial problems, verifying the feasibility of the proposed methodologies.