Knowledge-based methods for the
simulation-aided process design of
sheet metal hydroforming processes
- Prof. Dr.-Ing. Dr.-Ing. E.h. mult. Dr. h.c. mult. M. Geiger
- Prof. Dr. K. Meyer-Wegener
Sheet metal hydroforming offers for the automobile industry new and cost-effective ways for the manufacture of load- and function-optimized light-weight components. However, the determination of optimal process parameters for hydroforming processes needs extensive process knowledge. Despite the use of numeric simulation methods it still is the result of several time consuming trial and error iterations. In this thesis suitable methods and data models have been developed that provide the automated identification of nonlinear process-control strategies adjusted to the specific boundary conditions of the forming process. The developed methods and data models were implemented into a knowledge-based software system based on finite element simulation.