X-ray Diffraction (XRD)

DIFFRAC.TEXTURE

Powerful software for data reduction and analysis of texture data sets collected with a 0D, 1D or 2D detector.

Faits marquants

All-round Texture Analysis Meets Ease-of-Use

Materials and components properties are significantly influenced by an inherent or applied preferred orientation, or texture, which can be non-destructively investigated by X-ray diffraction methods.

DIFFRAC.TEXTURE is the powerful and easy-to-use software suite designed to analyze texture measurements. By utilizing a systematic approach to analysis according to a flowchart, DIFFRAC.TEXTURE delivers comprehensive texture information with just a few mouse-clicks.

DIFFRAC.TEXTURE features two well established and complementary techniques to provide the most accurate and reliable results: the model independent Spherical Harmonics methods and the model dependent Component Method.
With the implementation of the latter in DIFFRAC.TEXTURE, all crystal systems are now supported and the variety of sample symmetries ensures that a huge diversity of textures can be handled.

  • Straightforward creation of pole figures from 0D, 1D and 2D measurement data with single-click assignment to crystal phases.
  • Component method for fully detailed model based texture analysis.
  • Spherical Harmonics method for direct computation of the Orientation Distribution Function.
  • Powerful texture representation capabilities and extensive report generator.

Caractéristiques

Texture analysis workflow

1. Data import and sample definition

Data import and pole figure generation

The generation of pole figures from measured data has never been easier. DIFFRAC.TEXTURE can import data measured with 0D, 1D or 2D detectors and instantly create pole figures with single click operation either from selected angular regions (1D) or directly from 2D frame stacks via a single frame-cursor selection.

DIFFRAC.TEXTURE comes with a comprehensive crystal structure database that allows linking of pole figures to the corresponding hkl reflections with the least effort. Overlapping signals from different phases can be easily assigned to facilitate data analysis.

2. Pole figure analysis

Texture analyses of pole figures

DIFFRAC.TEXTURE features two complementary and powerful analysis methods that deliver accurate and reliable results:

The model-independent Spherical Harmonics method directly calculates the Orientation Distribution Function (ODF) from pole figures with a single mouse-click.

The Component method is a model-based approach that fits a set of texture components to the pole figures using fast and robust least-squares optimization.

3. Texture representation

Texture representation via ODF

DIFFRAC.TEXTURE includes powerful tools and options for a more detailed analysis of the obtained textures:

  • ODFs can be computed and represented in 3D or as a set of 2D sections.
  • Inverse pole figures along the surface normal, in-plane rolling and transverse directions.
  • 3D visualization of the individual texture components to support a better understanding of their orientation.
  • Pie-chart representation of the components’ volume fractions, including the isotropic content.

Two approaches to texture analysis

Spherical Harmonics method

2D representation of the Orientation Distribution Function obtained with the Spherical Harmonics method

The Spherical Harmonics method is a model-free approach and the method of choice if the orientation distribution function is of primary interest.

The ODF is directly calculated from a series expansion of the measured pole figures using a set of special functions defined on the surface of a sphere – the generalized spherical harmonics.

The advantage of the method is that it provides texture results in form of the ODF in a fast and simple way without requiring much prior sample knowledge.

Component method

DIFFRAC.TEXTURE - Texture analysis using the Component method

The Component method is a model-based approach: The texture is modelled by a set of components that describe the orientation, crystal and process symmetry of a part of the sample [1]. From these texture components the corresponding pole figures are calculated.

The parameters of the components are then refined by fitting the simulated pole figures against the measured ones using robust least-squares optimization.

The Component method provides a deeper insight into the texture: the process symmetry of a texture component links the manufacturing and processing of the sample to the measured pole figures.

Spécifications

DIFFRAC.TEXTURE Specifications

Version The current software version is V4.1

Analytical methods

0D, 1D and 2D data reduction

Pole Figure Auto Indexing

Spherical Harmonics

Component Fitting

Operating system

Windows 8, 8.1 and 10 (32-bit or 64-bit)