Analysis an‎d simulation of springback phenomenon in high-strength steels an‎d conducting experimental tests for validation an‎d parameter extraction

10/21/2026 12:00:00 AM

One of the most common defects in sheet metal forming processes is the springback phenomenon, which causes deviation of the produced product shape from the desired geometry. In recent years, the widespread use of high-strength steels, which inherently exhibit larger an‎d more complex springback compared to other sheets, has increased the importance of springback studies. According to studies, the use of the two-surface Yoshida-Uemori hardening model to investigate the effect of complex deformations including tension, bending, an‎d reverse bending is capable of examining complex material hardening behavior including the Bauschinger effect, transient behavior, permanent softening, an‎d work hardening stagnation, an‎d can have a greater impact on predicting springback parameters of high-strength steels. In this research, four types of advanced high-strength steels DP590, DP780, DP980, an‎d TRIP980 were investigated. First, uniaxial tensile tests were performed in three directions of 0, 45, an‎d 90 degrees. Then, cyclic tension-compression tests using anti-buckling fixtures in the rolling direction of the sheet were conducted to determine complex hardening behavior including the Bauschinger effect, transient behavior, an‎d work hardening stagnation. The Yoshida-Uemori hardening model parameters were identified an‎d calibrated through optimization methods using linked LS-Opt an‎d LS-Dyna software to achieve the best agreement with experimental data. For model validation, V-bending tests with punch angles of 60, 90, an‎d 120 degrees were performed, an‎d angles before an‎d after springback were measured. Additionally, numerical simulation of the V-bending process was implemented in the LS-Dyna environment using explicit approach for the forming stage an‎d implicit approach for the springback stage, an‎d angles before an‎d after springback were measured. Comparison of numerical an‎d experimental results showed that the Yoshida-Uemori model with optimized parameters has appropriate capability in predicting springback angles. The average prediction error for different bending angles was within an acceptable range, indicating the appropriate accuracy of the model in predicting complex hardening phenomena in high-strength steels. This study, presents a complete set of optimized Yoshida-Uemori model parameters for four high-strength steels that can be used in the design an‎d optimization of industrial forming processes.

بازگشت فنري , مدل سخت‌شوندگي , مدل يوشيدا-يوموري , فولاد استحكام بالا

Springback , hardening model , Yoshida-Uemori model , high-strength steel

Mohamad Sadegh Mirjalili

Ramin Hashemi