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.