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Meeting NUMIFORM 2019: The 13th International Conference on Numerical Methods in Industrial Forming Processes
Symposium S-01: Modeling of the Anisotropic Behavior in Plasticity
Presentation Title Comparison of Strain-path Indicators for Analysis of Processes in Sheet-bulk Metal Forming
Author(s) Florian Gutknecht, Manfred Vogel, Robert Schulte, Marion Merklein, Daniel Rosenbusch, Sergej Koch, Sven Hübner, Bernd-Arno Behrens, A. Erman Tekkaya, Till Clausmeyer
On-Site Speaker (Planned) Florian Gutknecht
Abstract Scope Typical sheet-bulk metal forming (SBMF) processes are combinations of sheet metal forming operations and bulk metal forming operations. Thus, these processes are accompanied by high plastic strains and assumed to undergo strong non-linear strain-paths. Knowledge of strain-path is for several reasons advantageous. Apart from the known influence on springback, it might also influence the necessary force, which is a crucial aspect in the bulk forming operations. Different indicators for strain path changes suggested by Schmitt, van Riel and Clausmeyer et al. are evaluated concerning their relevance for sheet-bulk metal forming. The former two indicators are solely based on kinematics, while the latter considers the material behaviour as well. After validation of the implementation for single-element tests, the indicators are evaluated for characterization tests like subsequent tension-shear, or bulge-torsion experiments. Finally, an outlook will be given on basis processes of SBMF, like edge thickening, or gear forming. It is found that Schmitt indicator is not very suited for analysis due to the instantaneous changes after occurrence of the strain-path change. The van Riel indicator has shortcomings because manually adjustable fitting parameters are necessary. The indicator, which considers the material behaviour, enables not just the detection of strain-path occurrence, but can also give hints on the importance due to the influence of material behaviour.
Proceedings Inclusion? Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Comparative Study between Elasto-plastic Self-consistent Crystal Plasticity and Anisotropic Yield Function with Distortional Hardening Formulations for Sheet Metal Forming
Accurate Modeling of Experimental Strain-hardening Characteristics for Series of High Strength Steel
An Anisotropic Yield Model Reduced From The Yld2004-18p Function For Metals With Gentle Anisotropy Under Triaxial Loading
An Application of Homogeneous Anisotropic Hardening Model to Earing Predictions of Pre-strained Material
An Experimental Study on Yield Surface Evolution of a Trip-assisted Steel
Applications of a Stress Invariants-based Yield Criterion to DP980 & QP980 Steels
Characterization of Anisotropic Yield Criteria Using an Indentation Based Technique for Steel Sheets
Comparison of Strain-path Indicators for Analysis of Processes in Sheet-bulk Metal Forming
Determination of Strain Dependent Anisotropy in Layer Compression Tests and Resulting Influence on the Yield Locus Modelling
Material Modeling and Forming Limit Analysis of 6016-T4 Aluminum Alloy Sheet
Measurement of Unloading Behavior of AHSS and Its Effect on the Springback Prediction in FEM Simulation
Modeling of Sheet Metal Forming Based on Implicit Embedding of the Elasto-plastic Self-consistent Formulation in Finite Elements: Application to Cup Drawing of AA6022-T4
Modeling of the Differential Hardening of Pure Titanium Sheet and Application to Hole Expansion Forming Simulation
Numerical Integration of Isotropic and Anisotropic Plasticity Models
Plastic Anisotropy from Single Crystal to Multi-phase Steels
Prestraining Effect on Failure Behavior in Hole-Expansion Test of AA6022-T4 Sheet
Rate-dependent Tension and Compression Hardening Behaviors of Ahss for Sheet Metal Forming Simulation
Springback Prediction in Roll Forming using Nonlinear Kinematic and Homogeneous Anisotropic Hardening Models
Study on Hot Deformation Behavior and Microstructure of 5CrNiMoV Steel using Constitutive Modeling and Processing Map
Theory and Application Study of Springback Prediction Accuracy for QP Steel with Different Material Hardening Models

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