A new cluster-type model for the simulation of textures of polycrystalline metals

Xie, Qingge; Bael, Albert Van; Sidor, Jurij J.; Moerman, Jaap; Houtte, Paul Van

doi:10.1016/j.actamat.2014.01.038

Cited by 36 publications

(39 citation statements)

References 32 publications

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“…4). Published results have also shown similar agreement using grain interaction models (Engler et al, 2005;Jeong et al, 2015;Kabirian et al, 2015;Kalidindi et al, 2009;Mu et al, 2014;Pandey et al, 2013;Quey et al, 2012;M'Guil et al, 2015;Van Houtte et al, 2002;Xie et al, 2014;Zhang et al, 2015). The particular deformation conditions (high compression, relatively high strain rate and high temperature) applied to the investigated alloy have led to results which show a close match between model and experimental results in terms of main texture components.…”

Section: Discussionsupporting

confidence: 73%

Assessment of crystal plasticity finite element simulations of the hot deformation of metals from local strain and orientation measurements

Pinna

Lan

Kiu

et al. 2015

International Journal of Plasticity

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a b s t r a c tSimulations of the deformation of microstructures at high homologous temperatures have been carried out using a Crystal Plasticity Finite Element (CPFE) model to predict texture and grain structure deformation in Face-Centred-Cubic (FCC) metals deformed under conditions representative of hot forming operations. Results show that the model can quantitatively predict the location and intensity of the main deformation texture components of a AA5052 aluminium alloy deformed at 300 C under Plane Strain Compression (PSC). Simulations also reasonably predict the range of strain values measured using microgrids in the microstructure of a Fe-30wt%Ni alloy deformed at 1000 C using a new experimental procedure. However, the model fails to reproduce accurately intra-granular strain distribution patterns. Results at room temperature, after a tensile test carried out inside a Scanning Electron Microscope (SEM) on the same model alloy, show a much closer match between simulation and experimental results. Despite discrepancies for some local deformation features, the model predicts the formation of intense deformation bands running at 45 with respect to the tensile axis and located along the same grain boundaries as in the experiment. Results, therefore, highlight the limitations of deterministic CPFE simulations for situations where the grain size to sample thickness ratio is small and for which the sub-surface grain geometry strongly affects surface strains. They also show that reliable predictions of the statistical response of a polycrystalline aggregate can be obtained for the hot deformation of metals which controls microstructure evolution during the processing of metals.

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Section: Discussionsupporting

confidence: 73%

Assessment of crystal plasticity finite element simulations of the hot deformation of metals from local strain and orientation measurements

Pinna

Lan

Kiu

et al. 2015

International Journal of Plasticity

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“…Whereas the LAMEL and ALAMEL models consider the interaction between two grains, the GIA model (Crumbach et al, 2001) takes into account interactions between a cluster of grains. Additional cluster-type models have also been derived (Xie et al, 2014). Common to this class of models is that grains are paired for interaction studies on a statistical basis considering the initial texture and possibly also the experimental misorientation distribution across grain boundaries .…”

Section: Introductionmentioning

confidence: 99%

Grain interaction mechanisms leading to intragranular orientation spread in tensile deformed bulk grains of interstitial-free steel

Winther

Wright

Schmidt

et al. 2017

International Journal of Plasticity

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“…12 For modelling purposes, the experimentally measured textures were converted to continuous ODFs and subsequently discretised according to a method proposed by Tóth and Van Houtte. 22 According to this procedure, the total number of experimentally measured points is reduced to a set of 5000 equally weighted orientations.…”

Section: Experimental and Computational Proceduresmentioning

confidence: 99%

Evaluation of crystallographic changes and plastic strain ratio in Al alloys

Sidor

Petrov

Xie

et al. 2017

Materials Science and Technology

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Over the past several decades, extensive research endeavours in the field of crystal plasticity (CP) have led to the development of various Taylor-type homogenisation models enabling simulation of texture evolution during plastic deformation. This contribution provides a brief summary on the quality of deformation texture modelling under various boundary conditions. The crystallographic evolutionary patterns are discussed on the basis of grain interaction phenomena incorporated in the CP calculations. The annealing textures are successfully simulated by considering strain heterogeneities in the particle affected zone and by employing orientation selection during both nucleation and growth stages of recrystallisation. It is shown that the Lankford value profiles can be accurately reproduced by CP calculations on condition of reliable grain statistics.

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A new cluster-type model for the simulation of textures of polycrystalline metals

Cited by 36 publications

References 32 publications

Assessment of crystal plasticity finite element simulations of the hot deformation of metals from local strain and orientation measurements

Assessment of crystal plasticity finite element simulations of the hot deformation of metals from local strain and orientation measurements

Grain interaction mechanisms leading to intragranular orientation spread in tensile deformed bulk grains of interstitial-free steel

Evaluation of crystallographic changes and plastic strain ratio in Al alloys

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