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Springback Prediction Improvement Using New Simulation Technologies
Technical Paper
2009-01-0981
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Springback is a major concern in stamping of advanced high strength steels (AHSS). The existing computer simulation technology has difficulty predicting this phenomenon accurately even though it is well developed for formability simulations. Great efforts made in recent years to improve springback predictions have achieved noticeable progress in the computational capability and accuracy. In this work, springback simulation studies are conducted using FEA software LS-DYNA®. Various parametric sensitivity studies are carried out and key variables affecting the springback prediction accuracy are identified. Recently developed simulation technologies in LS-DYNA® are implemented including dynamic effect minimization, smooth tool contact and newly developed nonlinear isotropic/kinematic hardening material models. Case studies on lab-scale and full-scale industrial parts are provided and the predicted springback results are compared to the experimental data. The results show significant improvement in springback prediction accuracy and robustness.
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Citation
Chen, X., Shi, M., Zhu, X., Du, C. et al., "Springback Prediction Improvement Using New Simulation Technologies," SAE Technical Paper 2009-01-0981, 2009, https://doi.org/10.4271/2009-01-0981.Also In
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