Reliability criteria in quantitative texture analysis with experimental and simulated orientation distributions

Abstract

Quantitative texture analysis reliability factors are examined from an experimental point of view, using real‐sample and modelled orientation distribution refinements. The classical RP factors of texture analysis are shown to depend on the texture strength, and their representation of the various textures is not homogeneous. The surface‐weighted RPw homologues exhibit lower texture strength dependency and better homogeneities, but still do not allow for comparison of refinements operated on samples with different textures. New factors, Rw, weighted by the counting statistics, show the lowest dependency and best homogeneity. From Rw1(Rw0) curves a new criterion is established, which allows the detection of poorly refined orientation distributions. This study highlights a unique entropy‐to‐texture index relationship, which also gives a new criterion for testing refinement reliability, and proposes two different ranges in which to apply the texture index and the entropy factors.

Microstructure and crystallographic texture of Charonia lampas lampas shell

“…In our case this latter is large (nearly 1.8 Â 10 6 ), since we analyse each 2h diagram in the 28-85°range with a 0.03°equivalent step (1900 points/diagram) and 936 diagrams. The texture reliability factors are also low compared to similar texture strengths from the literature (Chateigner, 2005), as a sign of a good definition of the OD for the three layers. The inner layer, however, exhibits the largest factors and GoF.…”

Texture, mechanical and thermoelectric properties of Ca3Co4O9 ceramics

“…Such normalised pole figures are calculated from the OD of crystallites, refined using the E-WIMV formalism [18] after extraction of the peak intensities during the Rietveld cycles. The OD and profile refinement reliabilities are estimated using conventional reliability factors [19]. During these refinements we used the supercell definition of 349 as previously [20].…”

The 3D quantitative lattice and shape preferred orientation of a mylonitised metagranite from Monte Rosa (Western Alps): Combining neutron diffraction texture analysis and synchrotron X-ray microtomography

“…Considering the diffraction-derived data, the resultant LPOs have main reliability factors for the quantitative texture analysis based on Chateigner (2005), which was used to assess the quality of the refinement and the reliability of the obtained ODF (Figs. 8 and 9, and Table 3).…”