Abstract
Inverse analysis (IA) is a systematical means in determining an optimal blank configuration for a deep drawing process. In this paper, IA is explored by using a commercial finite element software package. A number of numerical studies on the effect of blank configurations to the part quality in a deep drawing process were conducted and compared. The quality of the drawing processes is numerically analyzed by using an incremental explicit nonlinear finite element code. The initial blank configuration has shown that it plays an important role in the quality of the product. However, it is observed that if the blank configuration is not greatly deviated from the one obtained from IA, the blank still can result a good product. In conclusion, IA has presented its important role in the systematical design process for deep drawing processes.
