Abstract: The Design of Experiments (DoE) is a powerful statistical approach that enables the optimization of process parameters through a limited number of well-structured tests. In this study, the Taguchi method is applied to the punching test to investigate the influence of key parameters on the maximum punching force (Fmax). Four control factors are considered: punch speed (V), clearance between punch and die (J), punch diameter (D), and sheet thickness (e). Two mathematical models are developed to predict Fmax: a first-order model that neglects factor interactions, and a second-order model that accounts for them. The comparison between both models demonstrates that the second-order formulation provides a significantly better fit to experimental data. These findings underline the importance of considering factor interactions in the analysis and optimization of the punching process to achieve improved cutting accuracy and predict Fmax.
Key words: Taguchi design of experiments, Optimization, Punching test, Analytical model.