Stochastic analysis of a deep drawing process using finite element simulations

A deep drawing process optimization procedure using finite element simulations is described in this paper. The cross tool geometry is used to demonstrate the procedure and its application to robust design. Taguchi´s fractional factorial design of experiments is applied to plan for the numerical simulations. Stochastic variations in three process parameters were considered and its impact on the part quality is determined using analysis of variance (ANOVA). The relative contribution of each process parameter is determined by using ANOVA. Contact friction conditions have a major role in the deep drawing of cross geometry compared to blank holder force and blank shape. The outcome of the process for a combination of the process parameters can be found from the reliability optimization procedure.