Investigating and Optimizing Factors Affecting Thinning in Sheet Deep Drawing through Simulation and Taguchi Experimental Planning

Abstract

This research endeavors to explore the intricate dynamics of factors influencing the thinning process in flat sheet deep-drawing process. It delves into the optimization of crucial parameters that shape the outcome of the deep-drawing process, including punch radius (Rp), die radius (Rd), and workpiece clamp force (F). Employing advanced CAE (Computer-Aided Engineering) software, this study harnesses finite element analysis to simulate the deformation experienced during the stamping process. By doing so, it not only provides a comprehensive understanding of the thinning process but also predicts the material's formability. Furthermore, it aims to determine the optimal parameters for this stamping process. In addition to simulation, this research employs the Taguchi orthogonal array experimental planning method and utilizes analysis of variance (ANOVA) to evaluate the influence of these parameters, quantifying their impact in terms of percentages. The findings revealed that die radius exerts the most significant influence among the three factors, accounting for 90.02% of the variability, followed by punch radius at 9.56%. In contrast, the workpiece blocking force falls within an insignificant range, making up only 0.42% of the overall impact.