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http://dx.doi.org/10.15207/JKCS.2022.13.04.287

Statistical Analysis of the Springback Scatter according to the Material Strength in the Sheet Metal Forming Process  

Son, Min-Kyu (Department of Mechanical Engineering, Graduate School, Daegu University)
Kim, Se-Ho (School of Mechanical Engineering, Daegu University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.4, 2022 , pp. 287-292 More about this Journal
Abstract
In this paper, the stochastic distribution of the springback amount is investigated for the stamping process of a U-channel shaped-product with ultra-high strength steel. Using the reliability-based design optimization technique (RBDO), stochastic distribution of process parameters is considered in the analysis including material properties and process variation. Quantification of the springback scatters is carried out with the statistical analysis method according to the material strength. It is found that the scattering amount of springback decreases while the amount of springback increases as the tensile strength of the blank material increases, which is investigated by analyzing the strain and stress distribution of the punch and die shoulder. It is noted that the proposed scheme is capable of predicting and responding to the unavoidable scattering of springback in the sheet metal forming process.
Keywords
Sheet metal forming process; Springback scatter; Strength of materials; Reliability based design optimization; Finite element analysis;
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