Microtexture tracking in hot-deformed polycrystalline aluminium: Comparison with simulations

Quey, Romain; Piot, David; Driver, J.H.

doi:10.1016/j.actamat.2009.12.014

Cited by 20 publications

(17 citation statements)

References 11 publications

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“…It was previously shown that tracking the grain rotations on the internal surface of a split sample does 3 not affect significantly either the sample texture or the local orientations [16]. Moreover, general agreement with standard crystal plasticity predictions on average grain rotations [19], orientation fragmentation [20] and subgrain evolution [11] supported the validity of the present split sample experiment at both the grain and subgrain scales. The grains can therefore be considered to deform as grains in a conventional, single-pieced sample.…”

Section: Methodssupporting

confidence: 84%

“…A transition then occurs at lower strains than in experiment, between ε = 0.19 and 0.42, and the large-strain distribution is shared between RD and ND, without any TD. It is often found that simulated textures develop faster than the experimental ones [19,40,41] and this appears to be also true for the disorientation axes.…”

Section: Frequency Distribution Of the Preferential Disorientation Axesmentioning

confidence: 88%

“…The experiment is based on the microtexture tracking technique [16], previously employed to analyse the average grain rotations [16,19], orientation fragmentation [20] and subgrain evolutions [11]. The simulation is carried out using the crystal plasticity finite element method with finely discretized grains, and is essentially the same as that used for the orientation fragmentation analysis [20].…”

Section: Methodsmentioning

confidence: 99%

“…In the context of a rate-dependent material behaviour (Equation 9), the slip rate on a system is non-zero if the resolved shear stress is non-zero. A change of stress is therefore expected to affect the slip rates of all systems and ultimately the reorientation velocity (Equation 19). Let σ v = (σ 11 , σ 22 , σ 33 , √ 2 σ 23 , √ 2 σ 31 , √ 2 σ 12 ) denote the stress in vectorial form.…”

Section: Influence Of Stress Variabilitymentioning

confidence: 99%

“…This definition implies multimodal rotations. In a later publication [19], the average lattice rotations were compared to crystal plasticity predictions with good qualitative agreement. For the grains undergoing orientation fragmentation, the experimental data were complemented by a finite element simulation of a virtual polycrystal undergoing the same plane strain compression defor-2 mation.…”

Section: Introductionmentioning

confidence: 99%

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Intra-grain orientation distributions in hot-deformed aluminium: Orientation dependence and relation to deformation mechanisms

Quey

Driver

Dawson

2015

Journal of the Mechanics and Physics of Solids

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International audienceThe development of intra-grain orientation distributions is analysed for 92 individual grains of an aluminium polycrystal deformed in plane strain compression at 400 degrees C to an effective strain of epsilon = 1.2. Orientations of the crystallographic lattice were measured by using a microtexture tracking technique that combines deforming a split sample with collecting electron backscattering diffraction (EBSD) data on the internal surface at successively greater strains. In these experiments, more than 1000 orientations were taken within each of the grains at strains 0.19, 0.42, 0.77 and 1.2, as well as in the initial, undeformed state. A high-resolution finite element simulation (1000 elements/grain on average) was conducted on a polycrystal whose grains were assigned the experimental orientations. Attributes of the orientation distributions were extracted from both the experimental and simulation data, including the average disorientation angles and the preferential disorientation axes. For both experiment and simulation, the average disorientation angles were found to increase up to epsilon = 0.5 and then to saturate to values of 7-8 degrees. It is shown that the preferential disorientation axes are distributed about the transverse direction (TD) up to epsilon = 0.5 and then migrate at large strains to directions between the rolling (extension) direction (RD) and the normal (compression) direction (ND). Detailed crystal plasticity analyses show that the distribution of preferential disorientation axes is related to two mechanisms: (i) the development of anisotropy in the orientation distributions due to the accentuated activity of particular slip systems from stress heterogeneities and (ii) the peak-shifting transformation of the distribution arising from gradients of the reorientation velocity field imposed by the deformation. (C) 2015 Elsevier Ltd. All rights reserved

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Section: Methodssupporting

confidence: 84%

Section: Frequency Distribution Of the Preferential Disorientation Axesmentioning

confidence: 88%