Research on progressive forming quality control technology for sheet metal parts

Abstract

In order to reduce the corrugations of pieces and improve the surface quality of pieces in single point progressive forming (SPIF), the forming process parameters were studied. Aiming at the complexity of single point progressive forming process, the prediction and analysis models of different process parameters, surface corrugateness and geometric deviation of inclined straight wall parts were established based on the response surface method by Box Behnken Design method. The reliability of the prediction model was analyzed by ANOVA (variance), and the influence law of process parameters and evaluation index was analyzed. The optimal process parameter combination is obtained and the accuracy of the model is verified. The results show that the layer feed of inclined straight wall parts is the most significant factor affecting the surface corrugations of parts, and then the influence degree from weak to strong is the diameter of tool head and forming Angle.