Numerical simulations of sheet metal forming process based on
finite element method (FEM) is widely applied for its powerful
capability in forming process prediction. Since there are
parameters which could affect the result of forming process, it
becomes important to approach a set of parameters to improve the
formability. In the present work, first, a comprehensive literature
review was made for different optimization methodologies in sheet
metal forming process. Then we proposed an optimization methodology
using Response Surface methodology (RSM) and Genetic Algorithm (GA)
for the optimization of sheet metal forming process, and the theory
of RSM and GA are illustrated. The presented method was first
applied to an example from literature, the results verified the
feasibility of the proposed methodology. Then the methodology was
applied to variable binder force optimization of the NUMISHEET'93
2D draw bending problem. The work indicated that the proposed
optimization methodology is efficient and universal, which means it
can also be applied in other applications of aerospace industry.
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