Experimental characterization and modeling of the hardening behavior of the sheet steel LH800

Noman, Mohammad; Clausmeyer, Till; Barthel, Clemens; Svendsen, Bob; Huétink, J.; Riel, M. van

doi:10.1016/j.msea.2009.12.013

Cited by 39 publications

(44 citation statements)

References 29 publications

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“…α is the corresponding accumulated glide system shear shown for comparison that the yield surface is distorted in directions orthogonal to the currently active stress, shown e.g. in [26]. The stress state and thus the deformation state decide whether this has a distinct effect on the resulting stressstrain behavior.…”

Section: Model Comparison and Discussionmentioning

confidence: 99%

“…The horizontal and vertical force are recorded such that, together with the known geometry, the Cauchy stresses T 22 and T 12 can be computed. Further details concerning the experimental setup can be found in [26,37,38]. In all experiments the strain rate was set to 10 −3 1/s.…”

Section: Test Setupmentioning

confidence: 99%

“…In the procedure described in detail in [26], in the first step s r and c r governing the isotropic hardening are determined based on the monotonic tests. Then the two parameters s x and c x responsible for kinematic [26].…”

Section: Macroscale Metal Plasticity Modelmentioning

confidence: 99%

“…Then the two parameters s x and c x responsible for kinematic [26]. The material parameter determination is carried out using the program LS-OPT in conjunction with LS-DYNA.…”

Section: Macroscale Metal Plasticity Modelmentioning

confidence: 99%

“…In this model, evolving structure tensors are used to account for directional hardening effects resulting from the development of persistent dislocation structures during monotonic loading and from their reorganization upon changes in loading direction. A recent model presented in [26] formulated on the engineering scale also accounts for transient behavior observed in cross-tests by modifying the shape of the yield surface in dependence of the strain path. Similar to the Teodosiu model the evolution of the dislocation structure is taken into account by tensor-valued internal variables.…”

Section: Introductionmentioning

confidence: 99%

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Phenomenological modeling of anisotropy induced by evolution of the dislocation structure on the macroscopic and microscopic scale

et al. 2011

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This work focuses on the modeling of the evolution of anisotropy induced by the development of the dislocation microstructure. A model formulated at the engineering scale in the context of classical metal plasticity and a model formulated in the context of crystal plasticity are presented. Images obtained by transmission-electron microscopy (TEM) show the influence of the strain path on the evolution of anisotropy for the case of two common materials used in sheet metal forming, DC06 and AA6016-T4. Both models are capable of accounting for the transient behavior observed after changes in loading path for fcc and bcc metals. The evolution of the internal variables of the models is correlated with the evolution of the dislocation structure observed by TEM investigations.

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Section: Model Comparison and Discussionmentioning

confidence: 99%

Section: Test Setupmentioning

confidence: 99%

Section: Macroscale Metal Plasticity Modelmentioning

confidence: 99%

“…Then the two parameters s x and c x responsible for kinematic [26]. The material parameter determination is carried out using the program LS-OPT in conjunction with LS-DYNA.…”

Section: Macroscale Metal Plasticity Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Phenomenological modeling of anisotropy induced by evolution of the dislocation structure on the macroscopic and microscopic scale

et al. 2011

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Steel and Iron Based Alloys

Ramazani

Berme

Prahl

2013

Structural Materials and Processes in Transportation

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Variational constitutive updates for microstructure evolution in hcp metals

Mosler

Homayonifar

2012

GAMM-Mitteilungen

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Magnesium and its alloys are promising materials for lightweight applications. Unfortunately, the macroscopic formability of such materials is relatively poor at room temperature and these metals are characterized by a complex mechanical response. This response is a result of the interplay between different deformation modes at the microscale. Since magnesium is a material showing a hexagonal close‐packed (hcp) structure of the underlying atomic lattice, plasticity caused by dislocations and deformation‐induced twinning are the most relevant deformation modes. Within the present paper, two different recently advocated modeling approaches suitable for capturing such modes at the microscale are analyzed. It is shown that both models can be rewritten into a variationally consistent format where every aspect is naturally driven by energy minimization. In addition to this already known feature, it turns out that both models are based on the same minimization problem. The difference between the models results from different constraints enforced within the variational principle. For getting further insight into the interaction between dislocations and twinning interfaces, accompanying atomistic simulations based on molecular dynamics are also performed. The results of such simulations enter the micromechanical model through the initial plastic deformation within the twinned phase (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

show abstract

Experimental characterization and modeling of the hardening behavior of the sheet steel LH800

Cited by 39 publications

References 29 publications

Phenomenological modeling of anisotropy induced by evolution of the dislocation structure on the macroscopic and microscopic scale

Phenomenological modeling of anisotropy induced by evolution of the dislocation structure on the macroscopic and microscopic scale

Steel and Iron Based Alloys

Variational constitutive updates for microstructure evolution in hcp metals

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