Effect of complicated deformation behaviors during cold stamping on springback prediction of DP980 steel

Wang, Baotang; Chang, Ying; Zang, Shun-lai; Li, Xiaodong; Yu, Shuzhou; Wang, Cun‐Yu

doi:10.1007/s00170-023-11453-7

Cited by 2 publications

(1 citation statement)

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“…The effect of cold forming deformation behavior on springback prediction of DP980 steel was investigated. The springback predictions of the modified elastic damping, anisotropic flow and CINK hardening models achieved the best results [20]. A twist springback approach was proposed, and under a variety of design limitations, the ideal trajectory of the variable blank holder force (VBHF) and the blank form for minimizing the twist springback were established.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Predicting Forming Process Based on Different Hardening Models in Advanced High Strength Steel Sheets

Sanrutsadakorn,

Lawong,

Julsri

2023

KEM

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Sheet metal shaping for advanced high strength (AHS) steel sheets is commonly utilized in the manufacturing of automobile components. This helps to decrease the weight of new structures and increase the crashworthiness performance of these structures. The phenomenon known as springback deviation plays a significant role in creating such components via deformation and fracture. This study investigated the production of an S-rail from components made of steel grade 780 with a thickness of 1 millimeter by employing appropriate simulations using finite elements (FE) and generation. The materials were initially tested in order to collect the necessary parameter sets for the models being employed. The Barlat89 yield function, the Y-U kinematic hardening model, and a model combining the Y-U kinematic hardening model with the Barlat89 yield function were all used in the simulations. In addition, the forming limit curves (FLCs were utilized to assess the computed formabilities and served as the failure criteria. The deformation, springback effect, deviations, and twist springback of the components developed after the S-rail forming were subsequently studied, measured, and the findings compared. It was discovered that the proposed yield criteria and kinematic hardening models could accurately predict the formability of the material without causing any damage. The strain distributions acquired from the Y-U kinematic hardening indicated that the sidewall curl area was slightly larger than what was predicted by previous models. The model combining the Y-U kinematic hardening model with the Barlat89 yield function produced the most accurate predictions for overall springback effect, deviations, and twist springback of the AHS steel sheets.

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Section: Introductionmentioning

confidence: 99%