Computer aided analysis and optimization of deep drawing process of stainless steel sheet parts

In this thesis study, deep drawing, one of the sheet metal forming processes, was investigated. Solid models of the die design parameters affecting the deep drawing process, such as female die radius, punch radius, die gap, die depth, punch diameter and pod diameter, were created at different levels and analyzed with an engineering software. AISI 304 was chosen as the material. These analyzes were carried out in the computer environment before the mold production started, and the optimum parameters were found by integrating the results with Taguchi analysis in order to find the mold modeling closest to the desired dimensions. The parameters found according to the workpiece model were found to be female die radius 15 mm, punch radius 6 mm, die gap 2.7 mm, skin drawing depth 60 mm, punch diameter 70 mm, pod diameter 145 mm. According to the optimum values found, an accuracy rate of 86.06% was found by applying variance analysis in ANOVA. In the variance analysis calculated according to S/N values, the most effective parameters were found to be 38.66% punch diameter, 29.32% die depth, 13.21% punch radius, 5.25% pod diameter, 2.56% female die radius, 2.24% die cavity. As a result, the analysis showed that when the tooth and punch radii increased, the error rate in the deep drawing process decreased. If the mold cavity and pod diameter are not given according to the workpiece; It has been explained that problems such as tearing, scratching and earing may occur in the deep drawing process and that the die depth and punch diameter are interconnected.