A three-phase simulation of the effect of microstructural features on semi-solid tensile deformation

Phillion, A.B.; Cockcroft, S. L.; Lee, Peter

doi:10.1016/j.actamat.2008.04.055

Cited by 60 publications

(48 citation statements)

References 35 publications

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“…Hence, although the behavior of the solid grains is actually elastic-perfectly plastic, the behavior of the entire semisolid material is not, as is shown in Figure 4. Instead, it undergoes geometric strain hardening [19] during deformation. An initial stress increase can also be observed in the results for g s = 0.94 and g s = 0.98.…”

Section: B Tensile Deformationmentioning

confidence: 99%

“…Generation of this geometry requires a methodology for simulating the solidification of numerous grains. Previous work by the authors [15][16][17][18][19]33] has resulted in the development of a 3D granular solidification model known as GMS-3D, [31] which is able to generate the required solid-liquid two-phase geometry at a fixed g s . In this model, the grain structure is derived from a Voronoi tessellation of random nucleation centers.…”

Section: A Generation Of Discrete Elements Using a Solidification Modelmentioning

confidence: 99%

“…Verne`de et al [17,18] have used this 2D granular approach to simulate the fluid flow caused by grain movement and solidification shrinkage in an Al-Cu alloy. Phillion et al, [19,20] using a similar approach based on 2D granular geometry, predicted the mechanical behavior of an equiaxed granular semisolid Al-Mg alloy.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of Semi-Solid Material Mechanical Behavior Using a Combined Discrete/Finite Element Method

Sistaninia

Phillion

Drezet

et al. 2010

Metall Mater Trans A

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As a necessary step toward the quantitative prediction of hot tearing defects, a three-dimensional stress-strain simulation based on a combined finite element (FE)/discrete element method (DEM) has been developed that is capable of predicting the mechanical behavior of semisolid metallic alloys during solidification. The solidification model used for generating the initial solid-liquid structure is based on a Voronoi tessellation of randomly distributed nucleation centers and a solute diffusion model for each element of this tessellation. At a given fraction of solid, the deformation is then simulated with the solid grains being modeled using an elastoviscoplastic constitutive law, whereas the remaining liquid layers at grain boundaries are approximated by flexible connectors, each consisting of a spring element and a damper element acting in parallel. The model predictions have been validated against Al-Cu alloy experimental data from the literature. The results show that a combined FE/DEM approach is able to express the overall mechanical behavior of semisolid alloys at the macroscale based on the morphology of the grain structure. For the first time, the localization of strain in the intergranular regions is taken into account. Thus, this approach constitutes an indispensible step towards the development of a comprehensive model of hot tearing.

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Section: B Tensile Deformationmentioning

confidence: 99%

Section: A Generation Of Discrete Elements Using a Solidification Modelmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of Semi-Solid Material Mechanical Behavior Using a Combined Discrete/Finite Element Method

Sistaninia

Phillion

Drezet

et al. 2010

Metall Mater Trans A

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show abstract

Section: Introductionmentioning

confidence: 99%

“…The sample behaviour can then be studied with respect to various parameters. For instance, by using a modified Voronoi tessellation, Phillion et al showed the effect of microstructural features on the semi-solid tensile deformation of an aluminium alloy such as solid fraction, porosity and grain size [1].During the last decade, X-ray microtomography has considerably developed [2][3][4]. This imaging technique gives access to in situ three-dimensional (3D) morphology of a multiphase sample.…”

mentioning

confidence: 99%

Numerical tensile test on a mushy zone sample

Zaragoci¹,

Silva²,

Bellet³

et al. 2012

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Time sequences of 3D images of an Al-Cu alloy in the mushy state are obtained using in situ and real-time X-ray microtomography during a tensile test. Surface meshes of phase interfaces are built from these images with the help of a Marching Cubes algorithm. The signed distance to the surface meshes is then computed on a finite element mesh of the volume of the phases. These signed distance functions enable to track the interfaces between the phases in an implicit way. A numerical representation of the real microstructure is thus obtained, allowing to perform a numerical tensile test which is compared with the experimental tensile test. Results retrieve the general dynamic behaviour of the strain field evolution and opens promising perspectives for further interpretations of experimental results based on numerical simulations. IntroductionNowadays, numerical simulations of complex systems are mandatory in many fields. The first aspect to consider for performing analyses on such system is the creation of a realistic numerical representation of the object under study. This is the case in phase transformations taking place in the context of materials science. Several phases may coexist in a given material, delimited by interfaces. A mesh of the structure of the phases is then needed to study the heat, mass and momentum transfers taking place at phase interfaces and in the bulk phases. Results of such analyses for the entire material are not trivial because of the various phase properties and interface behaviours.When it is not possible to consider a numerical representation of the real specimen, statistical representative elementary volumes (REV) can be used. Advantages lead in the possibility to easily change the morphology of the REV. The sample behaviour can then be studied with respect to various parameters. For instance, by using a modified Voronoi tessellation, Phillion et al. showed the effect of microstructural features on the semi-solid tensile deformation of an aluminium alloy such as solid fraction, porosity and grain size [1].During the last decade, X-ray microtomography has considerably developed [2][3][4]. This imaging technique gives access to in situ three-dimensional (3D) morphology of a multiphase sample. Thus, Terzi et al. obtained a set of 3D images showing morphological evolutions in a few millimeters sample of an aluminium copper alloy during tensile testing [5]. It is currently possible to reach a spatial and time resolution of less than 1 µm and 1 s, respectively, on millimeters domain size [4].The ambition of this paper is to describe a way to transform data coming from X-ray microtomography into a finite element (FE) representation and to use it to run numerical simulations. In section 2, the approach chosen to obtain the FE representation is explained. Section 3 presents the model equations for the numerical tensile test and the way to solve them. Finally, results on the real morphology are presented and compared to the experimental data in section 4.

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Hojny¹

2016

Modeling Steel Deformation in the Semi-Solid State

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A three-phase simulation of the effect of microstructural features on semi-solid tensile deformation

Cited by 60 publications

References 35 publications

Simulation of Semi-Solid Material Mechanical Behavior Using a Combined Discrete/Finite Element Method

Simulation of Semi-Solid Material Mechanical Behavior Using a Combined Discrete/Finite Element Method

Numerical tensile test on a mushy zone sample

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