Effect of the Computational Model and Mesh Strategy on the Springback Prediction of the Sandwich Material

Solfronk, Pavel; Sobotka, Jiří; Koreček, David

doi:10.3390/machines10020114

Cited by 5 publications

(4 citation statements)

References 49 publications

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“…Springback evaluation was conducted in three planes, and the simulation outcomes were compared with the experimental ones [ 24 ]. Solfronk et al [ 25 ] studied the effect of various numerical parameters on the springback prediction of sandwich material. Their results suggest that the use of volume elements does not significantly improve springback prediction, but computational time increases greatly.…”

Section: Introductionmentioning

confidence: 99%

Impact of Blank Holding Force and Friction on Springback and Its Prediction of a Hat-Shaped Part Made of Dual-Phase Steel

et al. 2023

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Formability and its prediction of high-strength steels is an important research subject for forming specialists and researchers in this field. Springback and its accurate prediction of high-strength steels are very common issues in metal forming processes. In this article, the impact of blank holding force and friction on the parts springback made of dual-phase steel was studied. Numerical predictions of the springback effect were conducted using nine combinations of yield criteria and hardening rules. Results from experiments were evaluated and compared with results from numerical simulations. The use of lower blank holding forces and PE foil can reduce springback by a significant amount. Numerical simulations where the Yoshida-Uemori hardening rule was applied produced more accurate springback prediction results compared to simulations that used Krupkowski and Hollomon’s isotropic hardening rules in number of cases.

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Section: Introductionmentioning

confidence: 99%

Impact of Blank Holding Force and Friction on Springback and Its Prediction of a Hat-Shaped Part Made of Dual-Phase Steel

et al. 2023

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“…Cold forming leads to plastic deformations, residual stresses initiation and changes in wall thickness. The spring-back effect [7,8] is occurring, when the forming tool is opened. It leads to a change in the shape of the part.…”

Section: Introductionmentioning

confidence: 99%

Fatigue Estimation Using Inverse Stamping

Kašpar,

Bernardin,

Lašová

2023

Metals

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Reverse engineering methods like 3D scanning are becoming common in engineering practice. These methods enable engineers to reproduce the original shape of a scanned part. If other properties are required, then other reverse engineering methods can follow. Estimation of fatigue is a tricky task even if the material properties of the base material are known. Fatigue is influenced not only by material properties and the part’s shape but also by technological processes. Fast fatigue life estimation of stamped parts using reverse engineering methods is the target of this paper. The forming process, which has a crucial impact on the fatigue of stamped parts, is considered via inverse stamping. Adaptation of inverse stamping method from shell FEM meshes to volumetric meshes is included. The article also discusses the application of two methods, the Material Law for Steel Sheets (MLSS) and the Method of Variable Slopes (MVS). These methods adjust the fatigue curve based on effective plastic strain calculated by inverse stamping. Calculated results were compared with experimental results. In most situations, there is a good agreement between the calculations and the tests of the specimens without surface coatings. Sometimes, the calculated results are more conservative than the experiments. This is acceptable in component design in terms of reliability. When a Zn-Ni surface coating was applied, the fatigue life of the specimen decreased.

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“…A great number of calculation parameters in finite element simulations effects the accuracy and the solution time of the simulation [5,6]. Mesh design of the geometries and plasticity modeling steps dominates the accuracy of the simulations [7][8][9]. Mesh design generally includes element type, element number, and number of integration points (for shell elements).…”

Section: Introductionmentioning

confidence: 99%

On the effect of numerical parameters in finite element through thickness modeling for springback prediction

Şener,

Akşen,

Esener

et al. 2022

Res. Eng. Struct. Mater.

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The usage of advanced high strength steels (AHSS) presents important advantages in the reduction of the car body weight. However, these steels exhibit high springback behavior and causes to several problems in the manufacturing. Therefore, the prediction of the springback for AHSS is an important engineering task. In this study, the effect of numerical parameters in finite element through thickness modelling for springback prediction was investigated. U-draw bending process of transformation-induced plasticity-TWIP980 steel was performed as benchmark study. In the study, both shell and solid elements were taken into account. Number of integration points for shell elements and number of elements along the thickness direction for solid elements were evaluated. As a result, 5 integration points were determined as optimum value for shell elements however similar predictions results were obtained between the shell and solid elements.

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Effect of the Computational Model and Mesh Strategy on the Springback Prediction of the Sandwich Material

Cited by 5 publications

References 49 publications

Impact of Blank Holding Force and Friction on Springback and Its Prediction of a Hat-Shaped Part Made of Dual-Phase Steel

Impact of Blank Holding Force and Friction on Springback and Its Prediction of a Hat-Shaped Part Made of Dual-Phase Steel

Fatigue Estimation Using Inverse Stamping

On the effect of numerical parameters in finite element through thickness modeling for springback prediction

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