An adapted yield criterion for the evolution of subsequent yield surfaces

Küsters, Niklas; Brosius, Alexander

doi:10.1088/1742-6596/896/1/012020

Cited by 1 publication

(5 citation statements)

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“…The velocity of the punch was set to v punch = 2000 mm/s, accordingly the drawing depth s D of 50 mm was reached after t = 0.025 s which is also the termination time. A comparison of the conventional approach (Yld2000‐2d) and the adapted approach according to Küsters et al 38 is shown in Figure 10 based on the differences visible by the illustration of the triaxiality.…”

Section: Numerical Evaluation and Discussionmentioning

confidence: 99%

“…The implemented subroutine used during the calculation is based on the cutting‐plane algorithm based on Ortiz and Simo 43 . For additional information regarding this approach, please refer to the initial yield criterion 44 and to the specific publication provided by Küsters et al 38 …”

Section: State Of the Artmentioning

confidence: 99%

“…The implemented subroutine used during the calculation is based on the cutting-plane algorithm based on Ortiz and Simo. 43 For additional information regarding this approach, please refer to the initial yield criterion 44 and to the specific publication provided by Küsters et al 38 This shape variation influences the yield surface normal in the tensile stress state, applied on 𝜎 1 -axis in Figure 4C. Whereas the r-value is directly linked to the yield surface normal, and therefore changes the rotation, the yield exponent m can be used to take the r-value into account during the yielding.…”

Section: Anisotropic Symmetric Yield Criteria Anisotropic Asymmetric ...mentioning

confidence: 99%

“…It works with only two different characterization tests, tensile and plain strain specimen to gain the data for the criteria. The adapted yield criterion for describing the evolution of yield surfaces during a forming process was first presented by Küsters et al 38 By using the adapted model, a better agreement with the experimentally produced and measured component was achieved. The approach was tested for the steel DC06 (1.0873) and DX54 (1.0306) and commonly used aluminum alloy EN‐AA6016 39 .…”

Section: State Of the Artmentioning

confidence: 99%

“…The authors are not aware of any application of this model for HCP materials, so no initial value for the exponent m is available. In the approach presented by Küsters et al, 38 the exponent m is replaced by a strain dependent function which takes the r‐value (also known as Lankford coefficient 41 ) into account (cf. Figure 4A).…”

Section: State Of the Artmentioning

confidence: 99%

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Modeling metal forming of a magnesium alloy using an adapted material model

Wolf

Küsters

Bräunling

et al. 2022

Engineering Reports

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Modeling sheet metal forming of materials for lightweight construction requires an understanding of their plastic behavior in different loading directions. The presented work focuses on twin‐roll‐casted magnesium alloy AZ31. It is characterized by unique mechanical properties compared to other magnesium alloys due to the employed twin‐roll‐casting‐process. In general, magnesium alloys with their hexagonal closed‐packed structure possess a complex forming behavior including a deformation‐induced anisotropy evolution. In the context of a fast design approach, an adaptation of the Yield2000‐2d criteria usually used for body‐centered cubic or face‐centered cubic materials is tested. The goal is a simple, versatile material model which parameters are determined just by tensile tests with moderate testing effort. In the investigated model, the yield locus definition is modified by adding a term for the yield exponent evolution during the forming process. The modeling approach is presented and the necessary tests for material data acquisition and evaluation are described. After experimental identification of the model parameters, the material model is applied in a forming simulation. The investigation provides promising results matching well with experimental data. Thus, the application of this model in a fast design step is feasible, offering valuable data like deformed shape, process‐related material properties and induced stresses for further processing.

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Section: Numerical Evaluation and Discussionmentioning

confidence: 99%