Effect of Anisotropy on Springback Prediction in Forming of 590MPa High Strength Steel

Material parameters, extracted from mechanical behavior in a uniaxial direction without considering anisotropy in the rolling direction, are commonly used when doing forming analysis. However, when these material parameters are used for the forming analysis of a material which has large anisotropy, inaccurate analysis results can be obtained. In this study, the material parameters of the Yoshida-Uemori model, 0°, 45°, 90° to the rolling direction were extracted. When we used the material parameters extracted from three directions, each according to their rolling directions, the accuracy of the springback prediction was increased. We analyzed the effect of material parameters on the accuracy of the springback prediction, using nine material parameters. As a result, it was found that 'B-Y' and 'm' affected the accuracy of the springback prediction the most. When we compared this result to other studies, it showed outstanding accuracy for sidewall curl prediction. This shows the importance of considering the anisotropy of steel sheet, to increase accuracy of the springback analysis.