Textures and Mechanical Responses with Strain Path in FeP0 4 (original) (raw)
Related papers
Description and Presentation Methods for Textures
Textures and Microstructures, 1988
Dedicated to the memory of Professor Giinter Wassermann Different methods to describe and analyze the peak and/or fibre characteristics of textures are discussed. In metallic materials the main features of a certain type of texture can clearly and comprehensively be described by using adequate extractions from the three-dimensional orientation distribution function (ODF), which is usually calculated from two-dimensional X-ray pole figures. The ODF has a higher resolving power, but the abstract form of orientation density data plotted in a threedimensional orientation space is not always the most suitable way for presentation and further interpretation. Methods to describe the textures with the help of ideal orientations and/or fibres, their quantitative analysis with the help of Gauss-type scattering components, the selective projection and plot of characteristic orientation fibres are discussed and compared. As an example the development of rolling textures of fcc metals is described and analyzed. Using these evaluation methods it can be demonstrated how their characteristic features are related to theoretical predictions and to microstructural effects. KEY WORDS: ODF-analysis, model functions, peak textures, fibre textures, selective projection, fcc-bcc metals, rolling textures, recrystallization textures.
Determination of texture from individual grain orientation measurements
Journal of the American …, 1999
We present a technique for determining the texture of a polycrystalline material based on the measurement of the orientation of a number of individual grains. We assumed that the sample has fiber (i.e. axisymmetric) texture and that the texture can be characterized by a function (the March-Dollase function) with a single parameter. We simulated a large number, N, of orientation data sets, using the March-Dollase function for a total of five different texture parameters, r init. Using the maximum likelihood method we solved for the texture parameter, r′, that best fits each simulated data set in order to determine the distribution of r′ and evaluate the precision and accuracy with which r′ can be determined. The 90% confidence limits of the ratio r′/r init varied as N-½ but were independent of r init. Using the texture of slightly textured alumina as determined by x-ray diffraction we calculated the 90% confidence limits for measurements of 131 grains. The orientations of 131 grains in textured alumina were measured by electron backscatter diffraction and the texture determined from those measurements lay within these 90% confidence limits.
Geological Society, London, Special Publications, 2014
This paper presents the background for the calculation of various numbers that can be used to characterize crystal-preferred orientation (CPO), also known as texture in materials science, for large datasets using the combined scripting possibilities of MTEX and MatLab®. The paper is focused on three aspects in particular: the strength of CPO represented by orientation and misorientation distribution functions (ODFs, MDFs) or pole figures (PFs); symmetry of PFs and components of ODFs; and elastic tensors. The traditional measurements of texture strength of ODFs, MDFs and PFs are integral measurements of the distribution squared. The M-index is a partial measure of the MDF as the difference between uniform and measured misorientation angles. In addition there other parameters based on eigen analysis, but there are restrictions on their use. Eigen analysis does provide some shape factors for the distributions. The maxima of an ODF provides information on the modes. MTEX provides an est...
1 Texture Science and Technology
1999
This project is directed at advancing research and development in texture and anisotropy at Los Alamos. We are recognized as a national and international leader in texture and anisotropy research. This recognition is based on our understanding involving both quantitative texture analysis and the understanding and modeling of processes under which texture develops. In addition to these resources, we have available the full troika of texture measurement techniques, namely, x-ray, electron diffraction, and neutron diffraction. The goals of this project were (1) to increase the utilization of texture and anisotropy both within and without the Laboratory programmatic, basic, and industrial related efforts; (2) to seek to improve our texture measurement and modeling capabilities; and (3) to maintain our recognition as an international leader through basic research. These goals were accomplished through the formation of a coherent focus on texture directed through the CMS to coordinate tex...
Material behaviour – Texture and anisotropy
HAL (Le Centre pour la Communication Scientifique Directe), 2010
This contribution is an attempt to present a self-contained and comprehensive survey of the mathematics and physics of the material behavior of rocks in terms of texture and anisotropy. Being generally multiphase and polycrystalline, where each single crystallite is anisotropic with respect to its physical properties, texture, i.e., the statistical and spatial distribution of crystallographic orientations, becomes a constitutive characteristic and determines material behavior except for grain boundary effects, i.e., in first-order approximation. This chapter is in particular an account of modern mathematical texture analysis explicitly clarifying terms, providing definitions and justifying their application, and emphasizing its major insights. Thus, mathematical texture analysis is brought back to the realm of spherical Radon and Fourier transforms, spherical approximation, and spherical probability, i.e., to the mathematics of spherical tomography.
Texture Science and Technology
1999
This project is directed at advancing research and development in texture and anisotropy at Los Alamos. We are recognized as a national and international leader in texture and anisotropy research. This recognition is based on our understanding involving both quantitative texture analysis and the understanding and modeling of processes under which texture develops. In addition to these resources, we have available the full troika of texture measurement techniques, namely, x-ray, electron diffraction, and neutron diffraction. The goals of this project were (1) to increase the utilization of texture and anisotropy both within and without the Laboratory programmatic, basic, and industrial related efforts; (2) to seek to improve our texture measurement and modeling capabilities; and (3) to maintain our recognition as an international leader through basic research. These goals were accomplished through the formation of a coherent focus on texture directed through the CMS to coordinate texture efforts at the Laboratory as well as advancing the field in analysis, measurement and interpretation. The "texture focus" has essentially four functions: One, to manage the physical measurement systems; two, to coordinate human resources at the lab; three, to serve as a resource for both external and internal users; and four, to advance the field of texture analysis at all levels and keep it at the forefront.