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The most frequent defects generated by cold plastic forming in the parts made from metal sheets are caused by the springback phenomenon. The springback effects mainly determine the decrease of accuracy of the drawn part by changing its shape and dimensions after the tool removing. The present paper analyses the results obtained from the application of the LMecA /Taguchi/Neural Network/Fuzzy Logic methods in the designing phase of the drawing processes in order to increase the accuracy of the parts made from metal sheets by reducing or eliminating the springback effects. The optimization system based on the above mentioned methods performs the reduction of the springback intensity by an optimum design of the drawing tools geometry and process parameters.

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