Comparison of X-ray and electron backscatter diffraction textures for back-annealed Al–Mg alloys

Engler, Olaf

doi:10.1107/s0021889809041685

Cited by 17 publications

(5 citation statements)

References 21 publications

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“…For a grain number above 2500, J ODF can be approximated as 1 (dashed line). As demonstrated previously (Engler, 2009), a relative mean-square deviation of 10-20% from the expected ODF provides good accuracy for a subsequent texture simulation. Thus, a configuration is considered texture free if J ODF is in the range 1-1.2.…”

Section: Atomistic Modelingsupporting

confidence: 62%

Texture of nanocrystalline solids: atomic scale characterization and applications

et al. 2018

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A methodology is presented to characterize the crystallographic texture of atomic configurations on the basis of Euler angles. Texture information characterized by orientation map, orientation distribution function, texture index, pole figure and inverse pole figure is obtained. The paper reports the construction and characterization of the texture of nanocrystalline configurations with different grain numbers, grain sizes and percentages of preferred orientation. The minimum grain number for texture‐free configurations is ∼2500. The effect of texture on deducing grain size from simulated X‐ray diffraction curves is also explored as an application case of texture analysis. In addition, molecular dynamics simulations are performed on initially texture‐free nanocrystalline Ta under shock‐wave loading, which shows a ⟨001⟩ + ⟨111⟩ double fiber texture after shock‐wave compression.

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Section: Atomistic Modelingsupporting

confidence: 62%

Texture of nanocrystalline solids: atomic scale characterization and applications

et al. 2018

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“…Here, smaller

{\overset{T}{true}}^{normald}

values signify a more accurate texture prediction. Previous studies have suggested that

{\overset{T}{true}}^{normald}

values in the range of 0.1–0.2 indicate good accuracy of the texture simulation …”

Section: Visco‐plastic Self‐consistent Modelingmentioning

confidence: 98%

Self‐Consistent Modeling of Texture Evolution in TWIP Steel During Uniaxial Tension

Saleh

Pereloma

Gazder

2014

steel research int.

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X-ray diffraction was used to track the evolution of texture in a fully recrystallized Fe-24Mn-3Al-2Si-1Ni-0.06C TWinning Induced Plasticity steel subjected to uniaxial tensile testing. The bulk texture measurements returned the characteristic double fiber for fcc materials with a relatively stronger k111i fiber and a weaker k100i fiber parallel to the tensile axis. The Visco-Plastic Self-Consistent model was used to simulate the macroscopic stress-strain response as well as to track the evolution of the bulk crystallographic texture by detailing the contribution of slip and twinning when latent hardening effects are excluded or included. The simulations revealed the dominant role of slip and the limited volume effect of twinning on the overall development of the bulk texture. The correlation between the latent hardening effects and the employed grain interaction scheme is highlighted.

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“…(6) where, T is the texture index [30] of the reference experimental texture ( () T values between 0.1-0.2 indicate good accuracy of the texture simulation [31,32].…”

Section: Visco-plastic Self-consistent Modellingmentioning

confidence: 99%

Microstructure and texture evolution in a twinning-induced-plasticity steel during uniaxial tension

2013

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. (2013). Microstructure and texture evolution in a twinning-induced-plasticity steel during uniaxial tension. Acta Materialia, 61 (7), 2671-2691.Microstructure and texture evolution in a twinning-induced-plasticity steel during uniaxial tension AbstractA combination of electron back-scattering diffraction and X-ray diffraction was used to track the evolution of the microstructure and texture of a fully recrystallized Fe-24 Mn-3 Al-2 Si-1 Ni-0.06 C twinning-inducedplasticity steel during interrupted uniaxial tensile testing. Texture measurements returned the characteristic double fibre texture for face-centred cubic materials, with a relatively stronger 〈1 1 1〉 and a weaker 〈1 0 0〉 partial fibre parallel to the tensile axis. The interaction with the stable 〈1 1 1〉 oriented grains results in preferential plastic flow in the unstable 〈1 1 0〉 oriented grains. Consequently, the grains oriented along the 〈1 1 0〉 and 〈1 0 0〉 fibres record the highest and lowest values of intragranular local misorientation, respectively. The viscoplastic self-consistent model was used to simulate the macroscopic stress-strain response as well as track the evolution of bulk crystallographic texture by detailing the contributions of perfect and/or partial slip, twinning and latent hardening. The simulations revealed the dominant role of perfect slip and the limited volume effect of twinning on the texture development. The effects of initial orientation and grain interaction on the overall orientation stability during uniaxial tension showed that while the 〈1 0 0〉 fibre remains stable and does not affect the unstable orientations along the 〈1 1 0〉 fibre, the orientations along the stable 〈1 1 1〉 fibre strongly affect the unstable 〈1 1 0〉 orientations. on the overall orientation stability during uniaxial tension showed that while the 100  fibre remains stable and does not affect the unstable orientations along the 110  fibre, the orientations along the stable 111  fibre strongly affect the unstable 110  orientations.

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Comparison of X-ray and electron backscatter diffraction textures for back-annealed Al–Mg alloys

Cited by 17 publications

References 21 publications

Texture of nanocrystalline solids: atomic scale characterization and applications

Texture of nanocrystalline solids: atomic scale characterization and applications

Self‐Consistent Modeling of Texture Evolution in TWIP Steel During Uniaxial Tension

Microstructure and texture evolution in a twinning-induced-plasticity steel during uniaxial tension

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