A new approach to texture analysis of multiphase materials using a texture component model

Helming, K.; Eschner, T.

doi:10.1002/crat.2170250828

Cited by 72 publications

(37 citation statements)

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“…f 'Snowball' quartz (qtz) stitched to an albite plate (ab; crossed polarizers). Euhedral and inclusion-rich topaz (toz) is common in the rock However, to determine how the c-axes distribution may appear, we calculated the orientation distribution function from the (011)(101) pole figure applying the WIMV algorithm and compared the significant recalculated pole figures to particular pole figures obtained by means of texture component deconvolution (Helming and Eschner 1990; for applications, see e.g. Leiss et al 2002, Leiss andMolli 2003).…”

Section: Lpo Evaluation From Neutron Diffraction Datamentioning

confidence: 99%

Lattice-preferred orientations of late-Variscan granitoids derived from neutron diffraction data: implications for magma emplacement mechanisms

Müller

Leiss

Ullemeyer

et al. 2010

Int J Earth Sci (Geol Rundsch)

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The lattice-preferred orientation (LPOs) of two late-Variscan granitoids, the Meissen monzonite and the Podlesí dyke granite, were determined from high-resolution time-of-flight neutron diffraction patterns gained at the diffractometer SKAT in Dubna, Russia. The results demonstrate that the method is suitable for the LPO analysis of polyphase, relatively coarse-grained (0.1-6 mm) rocks. The Meissen monzonite has a prominent shape-preferred orientation (SPO) of the non-equidimensional minerals feldspar, mica and amphibole, whereas SPO of the Podlesí granite is unapparent at the hand-specimen scale. The neutron diffraction data revealed distinct LPOs in both granitoids. The LPO of the non-equidimensional minerals feldspar, mica and amphibole developed mainly during magmatic flow. In the case of the Meissen monzonite, the magmatic flow was superimposed by regional shear tectonics, which, however, had no significant effect on the LPOs. In both samples, quartz shows a weak but distinct LPO, which is atypical for plastic deformation and different in the syn-kinematic Meissen monzonite and the postkinematic Podlesí granite. We suggest that, first of all, the quartz LPO of the Meissen monzonite is the result of oriented growth in an anisotropic stress field. The quartz LPO of the Podlesí granite, which more or less resembles a deformational LPO in the flattening field of the local strain field, developed during magmatic flow, whereby the rhombohedral faces of the quartz crystals adhered to the (010) faces of aligned albite and to the (001) faces of zinnwaldite. Due to shape anisotropy of their attachments, the quartz crystals were passively aligned by magmatic flow. Thus, magmatic flow and oriented crystal growth are the major LPO-forming processes in both granitoids. For the Meissen monzonite, the solid-state flow was too weak to cause significant crystallographic re-orientation of the minerals aligned by magmatic flow. Finally, the significance of our results for the evaluation of the regional tectonic environment during magma emplacement is discussed. The discussion on the regional implications of the more methodologically oriented results provides the basis for future, more regionally aimed studies in view of the fabric characteristics of such plutons and their developing mechanisms.

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Section: Lpo Evaluation From Neutron Diffraction Datamentioning

confidence: 99%

Lattice-preferred orientations of late-Variscan granitoids derived from neutron diffraction data: implications for magma emplacement mechanisms

Müller

Leiss

Ullemeyer

et al. 2010

Int J Earth Sci (Geol Rundsch)

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“…In the context of crystallographic textures this was first done by Wasserman and Grewen [38], who introduced so called texture components to describe textures peculiar to specific processing histories. A large amount of work has been done to formulate isotropic and anisotropic model functions and to identify the dominant components in experimental textures [22,17,16]. Texture components are used on the one hand to obtain a physical interpretation of experimental codfs and on the other hand to homogenize the mechanical behavior with an acceptable numerical effort.…”

Section: Introductionmentioning

confidence: 99%

Crystallographic texture approximation by quadratic programming

Böhlke

Haus

Schulze³

2006

Acta Materialia

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This paper considers the problem of approximating a given crystallite orientation distribution function (codf) by a set of texture components. Problems of this type arise for example if the codf has to be reconstructed from discrete orientations or if one looks for a physical interpretation of the codf. The same problem is encountered if crystallographic texture based constitutive models have to be specified. The equivalence of these tasks to a mixed integer quadratic programming problem (MIQP) -a standard but challenging problem in optimization theory -is shown. Special emphasis is given to the generation of a class of approximations with an increasing number of texture components. Furthermore, the constraints resulting from the non-negativity, the normalization, and the symmetry of the codf are analyzed. Finally, a set of approximations of three different experimental textures determined with this solution scheme is presented and discussed. Based on these hierarchical solutions, the engineer can decide in what detail the microstructure is considered.

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“…The textures of the initial and final material state can be calculated from diffraction pole figures (PF), e.g. by the component method (Truszkowski et al, 1973;Liicke et al, 1986;Helming and Eschner, 1990). This method can be applied for each crystal symmetry and also for multi-phase materials (Helming, 1993;Helming et al, 1994a).…”

Section: Introductionmentioning

confidence: 99%

A Nearly Equal Distant Grid of Orientations for QuantitativeTexture Analysis

Helming

1997

Texture, Stress, and Microstructure

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The construction of a nearly equal distant grid of orientations is presented. Based on that grid texture components can be determined automatically. The obtained set of components can be interpreted as an ensemble of single orientations representing the texture. The grid may be used for the simulation of texture modifying processes. As examples textures of experimental deformed rock salt and aluminium are compared with results of numerical simulations of deformation (Taylor model).

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A new approach to texture analysis of multiphase materials using a texture component model

Cited by 72 publications

References 0 publications

Lattice-preferred orientations of late-Variscan granitoids derived from neutron diffraction data: implications for magma emplacement mechanisms

Lattice-preferred orientations of late-Variscan granitoids derived from neutron diffraction data: implications for magma emplacement mechanisms

Crystallographic texture approximation by quadratic programming

A Nearly Equal Distant Grid of Orientations for QuantitativeTexture Analysis

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