Abstract
Since today's automobile body needs to be both lightweight and safe, the employment of high-tensile steel for automobile parts is increasing in the manufacturing industry. Therefore, the prediction and reduction of springback error has long been a key issue for obtaining accurate shapes and dimensions in forming automobile parts. In this study, we examined the new method of predicting the shape freezing property by combining V-bending test data with Finite Element Method (FEM) simulation results. This hybrid system will help to predict the shape and dimensions of parts in advance and to determine the bending condition corresponding to material type and press capacity.
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