On the problem of the reproduction of the true orientation distribution from pole figures

Lücke, K.; Pośpiech, J.; Virnich, K. H.; Jura, J.

doi:10.1016/0001-6160(81)90097-3

Cited by 123 publications

(51 citation statements)

References 7 publications

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“…To minimise problems due to texture gradients (Partridge et al 1986) all specimens were polished to half-thickness prior to texture analysis. (Liicke et al, 1981;Lee et al, 1987).…”

Section: Methodsmentioning

confidence: 99%

Texture Changes in an Al–LiAlloy Sheet SuperplasticallyDeformed to High Strains

Bowen¹

1987

Texture, Stress, and Microstructure

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Dedicated to the memory of Professor Giinter WassermannChanges in the texture and grain shape of an AI-Li alloy sheet superplastically deformed into the shape of a cone have been measured as a function of strain. The starting microstructure was characterised by strong {110}(112) and {123} (634) orientations, together with a number of minor orientations, and an elongated grain shape. Increases and decreases in the intensities of the individual orientations occurred at low values of strain (<0.5) as the elongated grains became equiaxed.Once all the grains were equiaxed, however, there was a continuous decrease in the intensities of all orientations, except for those of some minor orientations which remained essentially constant. The results are explained in terms of slip occurring in the early stages of deformation, because elongated grains will experience difficulty in sliding and rotating, but becoming negligible when grains are equiaxed and are free to slide and rotate. There was some evidence of dynamic recrystallisation but only whilst slip occurred.

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“…To minimise problems due to texture gradients (Partridge et al 1986) all specimens were polished to half-thickness prior to texture analysis. (Liicke et al, 1981;Lee et al, 1987).…”

Section: Methodsmentioning

confidence: 99%

Texture Changes in an Al–LiAlloy Sheet SuperplasticallyDeformed to High Strains

Bowen¹

1987

Texture, Stress, and Microstructure

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“…[21,22] This method provides a small set of compact texture components which are characterized by simple parameters of physical significance (three Euler angles, full width at half maximum, volume fraction). Using this method, only a few texture components are required for mapping the complete texture in a mathematical precise form.…”

Section: Integrating Texture Components Into the Crystal Plasticity Fmentioning

confidence: 99%

Concepts for Integrating Plastic Anisotropy into Metal Forming Simulations

Raabe¹,

Klose

Engl

et al. 2002

Adv. Eng. Mater.

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Modern metal forming and crash simulations are usually based on the finite element method. Aims of such simulations are typically the prediction of the material shape, failure, and mechanical properties during deformation. Further goals lie in the computer assisted lay‐out of manufacturing tools used for intricate processing steps. Any such simulation requires that the material under investigation is specified in terms of its respective constitutive behavior. Modern finite element simulations typically use three sets of material input data, covering hardening, forming limits, and anisotropy. The current article is about the latter aspect. It reviews different empirical and physically based concepts for the integration of the elastic‐plastic anisotropy into metal forming finite element simulations. Particular pronunciation is placed on the discussion of the crystallographic anisotropy of polycrystalline material rather than on aspects associated with topological or morphological microstructure anisotropy. The reviewed anisotropy concepts are empirical yield surface approximations, yield surface formulations based on crystallographic homogenization theory, combinations of finite element and homogenization approaches, the crystal plasticity finite element method, and the recently introduced texture component crystal plasticity finite element method. The paper presents the basic physical approaches behind the different methods and discusses engineering aspects such as scalability, flexibility, and texture update in the course of a forming simulation.

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“…DNIEPRENKO AND S. V. DIVINSKII structure. In this case the ODF approximations by some model functions (mainly by the Gaussian-type ones) are used, see Bunge (1969), Jura (1988), Savelova (1984), Matthies (1982), Lucke, Pospiech, Virnich, Jura (1981).…”

Section: Introductionmentioning

confidence: 99%