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Updated: May 10, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
Published on: December 13, 2016
Improving Deep Drawing Quality of DD13 Sheet Metal: Optimization of Process Parameters Using Box-Behnken Design
Ilhan Celik1, Abdullah Tahir Şensoy2,3, Gokhan Seven4,5
1Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Samsun University, Samsun 55420, Türkiye.
Abstract:
This study presents a comprehensive analysis of the earing and thinning ratios in the deep drawing process of DD13-grade sheet metal. The variable parameters investigated include press descent speed (x1), blank holder pressure (x2) and punch pressure (x3). These parameters have been carefully selected based on production experience and preliminary experiments, and appropriate ranges of values have been established. A distinctive feature of this research is its focus on specimens with a deep drawing ratio greater than 2. The relationships between the input parameters and the response parameters were determined using the Box-Behnken design (BBD). Analysis of variance (ANOVA) for the regression models developed for earing and thinning ratios gave R2 values of 0.98 and 0.97, respectively, indicating robust predictive ability of the models. For the earing ratio, the optimal values of x1, x2 and x3 were found to be 27.38, 10 and 22, respectively. When evaluated using the same algorithm for uniform wall thickness, the optimum values were found to be 26.55, 10 and 22, respectively. The final earing and thinning ratios for all experimental runs were 3.79 and 21.19, respectively. The results of this study show that by optimizing certain parameters in the deep drawing process, the disadvantages associated with this manufacturing method can be significantly reduced.
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