Influence of texture and grain structure on strain localisation and formability for AlMgSi alloys

Pedersen, Ketill Olav; Lademo, Odd-Geir; Berstad, T.; Furu, Trond; Hopperstad, O.S.

doi:10.1016/j.jmatprotec.2007.08.040

Cited by 104 publications

(24 citation statements)

References 38 publications

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“…Hence, the yield surfaces found for alloys with similar textures are always similar, see e.g. [49] and [50]. It is therefore possible to estimate the yield surfaces of the alloys investigated in this work without prior knowledge of their hardening properties.…”

Section: Continuum Levelmentioning

confidence: 85%

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

Khadyko¹,

Dumoulin²,

Hopperstad³

2015

Computers & Structures

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Cylindrical smooth and notched AA6060 samples were tested in tension. The material was either cast and homogenized or extruded with strong cube texture. The textured specimens demonstrated unusual shapes of the fracture surface that deviated from elliptical and were more rectangular in shape. A phenomenological plasticity model was used in finite element simulations of the tensile tests, together with a crystal plasticity model. The phenomenological plasticity model could not reproduce the evolution of the cross-section of the specimens made from the textured material. The crystal plasticity finite element model on the other hand demonstrated behaviour closer to the experiments.

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Section: Continuum Levelmentioning

confidence: 85%

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

Khadyko¹,

Dumoulin²,

Hopperstad³

2015

Computers & Structures

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“…The factor that defines the shape of the yield surface of the polycrystal is which slip systems in the constituent crystals activate and which do not. Thus, the shape of the yield surface calculated for alloys with different hardening parameters should be the same -as for example in [45] and [46] the calculated yield surfaces for two different 6063 alloy specimens are the same. In addition the yield surfaces were calculated with the same texture, but different sets of hardening parameters with the numerical set up used in this work.…”

Section: Slip System Levelmentioning

confidence: 99%

An experimental–numerical method to determine the work-hardening of anisotropic ductile materials at large strains

Khadyko¹,

Dumoulin²,

Hopperstad³

2014

International Journal of Mechanical Sciences

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The determination of work hardening for ductile materials at large strains is difficult to perform in the framework of usual tensile tests because of the geometrical instability and necking in the specimen at relatively low strains. In this study we propose a combination of experimental and numerical techniques to overcome this difficulty. Extruded aluminium alloys are used as a case since they exhibit marked plastic anisotropy. In the experiments, the minimum diameters of the axisymmetric tensile specimen in two normal directions are measured at high frequency by a laser gauge in the necking area together with the corresponding force, and the true stress-strain curve is found. The anisotropy of the material is determined from its crystallographic texture using the crystal plasticity theory. This data is used to represent the specimen by a 3D finite element model with phenomenological anisotropic plasticity. The experimental true stress-strain curve is then used as a target curve in an optimization procedure for calibrating the hardening parameters of the material model.As a result, the equivalent stress-strain curve of the material up to fracture is obtained.

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“…[38] At the same time, it allows the underlying microstructural parameters k 1 and k 2 in the dislocation model to be evaluated from an analysis of experimental tensile and compression test data. Thus, after the saturation stress Dr d,s is reached, Eq.…”

Section: Contribution From Shearable Particles and Alloying Elements mentioning

confidence: 99%

A Combined Precipitation, Yield Strength, and Work Hardening Model for Al-Mg-Si Alloys

Myhr

Grong

Pedersen

2010

Metall Mater Trans A

116

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In the present article, a new two-internal-variable model for the work hardening behavior of commercial Al-Mg-Si alloys at room temperature is presented, which is linked to the previously developed precipitation and yield strength models for the same class of alloys. As a starting point, the total dislocation density is taken equal to the sum of the statistically stored and the geometrically necessary dislocations, using the latter parameters as the independent internal variables of the system. Classic dislocation theory is then used to capture the overall stress-strain response. In a calibrated form, the work hardening model relies solely on outputs from the precipitation model and thus exhibits a high degree of predictive power. In addition to the solute content, which determines the rate of dynamic recovery, the two other microstructure parameters that control the work hardening behavior are the geometric slip distance and the corresponding volume fraction of nonshearable Orowan particles in the base material. Both parameters are extracted from the predicted particle size distribution. The applicability of the combined model is illustrated by means of novel process diagrams, which show the interplay between the different variables that contribute to work hardening in commercial Al-Mg-Si alloys.

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Influence of texture and grain structure on strain localisation and formability for AlMgSi alloys

Cited by 104 publications

References 38 publications

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

An experimental–numerical method to determine the work-hardening of anisotropic ductile materials at large strains

A Combined Precipitation, Yield Strength, and Work Hardening Model for Al-Mg-Si Alloys

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