Springback Reduction in Draw-Bending Process of Sheet Metals

Schmoeckel, Dieter; Beth, M.

doi:10.1016/s0007-8506(07)62457-3

Cited by 34 publications

(8 citation statements)

References 3 publications

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“…Cao et al [25] also proposed a stepped binder force trajectory algorithm by neural network controller, where the stepped variable blank holder force (VBHF) trajectory was determined using the neural network controller. Schmoeckel and Beth [26] have shown that a blankholder pressure control dependent on drawing depth is quite beneficial for the reduction in springback. They observed that a sudden increase in blankholder pressure at the end of the forming process proved to be particularly beneficial for the springback reduction.…”

Section: Introductionmentioning

confidence: 99%

Springback prediction and reduction in deep drawing under influence of unloading modulus degradation

et al. 2015

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Springback is considered as one of the major problems in deep drawing of high-strength steels (HSS) and advanced high-strength steels (AHSS) which occurs during the unloading of part from the tools. With an ever increasing demand on the automotive manufactures for the production of lightweight automobile structures and increased crash performance, the use of HSS and AHSS is becoming extensive. For the accurate prediction of springback, unloading behavior of dual phase steels DP600, DP1000 and cold rolled steel DC04 for the deep drawing process is investigated and a strategy for the reduction of springback based on variable blankholder force is also presented. Cyclic tension compression tests and LS-Opt software are used for the identification of material parameters for Yoshida-Uemori (YU) model. Degradation of the Young's modulus is found to be 28 and 26 and 14 % from the initial Young's modulus for DP600, DP1000 and for the DC04 respectively for the saturated value. A finite element model is generated in LS-DYNA based on the kinematic hardening material model, namely Yoshida-Uemori (YU) model. The validation of numerical simulations is also carried out by the real deep drawing experiments. The springback could be predicted with the maximum deviation of 1.1 mm for these materials. For DP1000, the maximum springback is reduced by 24.5 %, for DP600 33.3 and 48.7 % for DC04 by the application of monotonic blankholder force instead of a constant blankholder force of 80 kN. It is concluded that despite the reduction of Young's modulus, the springback can be reduced for these materials by increasing the blankholder force only in last 13 % of the punch travel.

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Section: Introductionmentioning

confidence: 99%

Springback prediction and reduction in deep drawing under influence of unloading modulus degradation

et al. 2015

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“…On the other hand, Wang, Kinzel, Altan; accompanied by Tsujio and others; Ling, Murty and Everhie; Zhang and others; Schmoeckel and Beth; El-Domiaty and colleagues have conducted studies on mathematical models to avoid springback [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Determining springback amount of steel sheet metal has 0.5 mm thickness in bending dies

2006

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“…Too much springback and poor dimensional accuracy are fatal problems in the application of HSL, so good prediction of springback and an effective control method become urgent and difficult aspects in the sheet metal forming area. From 1993, there have been springback benchmarks in every NUMISHEET conference [1][2][3][4][5][6][7][8][9]. Especially in NU-MISHEET2002, there are many papers about springback prediction and control.…”

Section: Introductionmentioning

confidence: 99%

Sensitive factors in springback simulation for sheet metal forming

et al. 2004

Journal of Materials Processing Technology

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Springback Reduction in Draw-Bending Process of Sheet Metals

Cited by 34 publications

References 3 publications

Springback prediction and reduction in deep drawing under influence of unloading modulus degradation

Springback prediction and reduction in deep drawing under influence of unloading modulus degradation

Determining springback amount of steel sheet metal has 0.5 mm thickness in bending dies

Sensitive factors in springback simulation for sheet metal forming

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