Application of regression method for determining the die land dimensions based on data from industry

The closed-die forging is a quite complicated forming process that is affected by a large number of forming factors (such as dimensions and shape complexity of the forged part, mass and shape of raw material (billet), forging die geometry, material properties etc.). In the forging process/die design the choice of the appropriate die land geometry is a difficult and very important task. In this study, the new equations for determining the die land dimensions have been developed by using the regression analysis. The input-output data set was constructed on the basis of the samples from industry. The validation of derived equations was carried out with a case study. These equations can be used for any kind of an axisymmetrical forged part. Proposed equations offer forging process/die designers the possibility to choose the die land dimensions more precisely. In that way, the reduction of the expensive and time consuming trial-and-error procedure in industrial practice is real and possible. On the other hand, determining the proper (optimal) dimensions of die land leads to a successful forging process. Consequently, less mass of raw material, reduction of forging load/work, less die wear as well as best quality of forging parts should be achieved.