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Data Presentation Options - Postprocessing

Flexible Measurement Result Visualization

The analyst often faces the challenge of how to present data in a way that material properties of interest can easily be assessed. The ESPRIT software suite for EBSD offers a large number of data representation tools to fulfill that need.

Subset selection

ESPRIT provides the analyst with the option to create data subsets using different criteria, allowing to focus on specific features. Subset selection a can be applied to many of the data and the presentation options described on this page: maps, histograms, pole figures, phase list, etc. Subsets can be processed using multiple operations, among them union, subtraction, intersection, expansion. Masks can also be used.

Pattern quality map

Stainless Steel Pattern Quality Map
Stainless steel pattern quality map

This is an important tool for judging the quality of a measurement. Pattern quality is influenced by acquisition paramters, sample properties (e.g. phases, boundaries, lattice strain) and also by sample preparation. The pattern quality, i.e. sharpness of the Kikuchi pattern, at each point of the map is brightness coded to produce a gray scale image. These images are useful as a base for overlaying with other types of maps, as they show microstructural features like grain boundaries.

Phase map

Stainless Steel Pattern Quality and Phase Maps
Stainless steel, pattern quality overlaid
with phase map: ferrite (red), austenite
(blue), titanium nitride (green),
titanium sulfide (yellow)

All identified phases are displayed in a color-coded phase distribution map.

Pole figures

High Resolution Pole Figure
High resolution pole figure

Pole figures are one of the most common representation tools for orientation data. They show the distributions of the selected poles {hkl} considering all orientation measurements. Pole figures provide important information on strength of texture and also on which texture components are dominant. ESPRIT for EBSD generates pole figures and their corresponding diffraction sphere (viewed in 3D) in high resolution and with unprecedented speed.

Inverse pole figures (IPF)

Inverse Pole Figures
Inverse pole figures

While pole figures display crystal orientations with reference to the stage coordinate system, the IPFs describe a chosen stage system axis as a crystallographic vector. Since there are many symmetry-equivalent vectors, the IPFs are reduced to the symmetry-specific sub-spaces (as shown in the figure on the left).

Orientation distribution function

ODF Space Visualization for a Gold Film
ODF space visualization for a gold film
deposited on a silicon wafer

2D cuts and 3D visualization of the ODF space, using modern Open-GL technology for fast and interactive display.

IPF map

Stainless Steel Pattern Quality and IPFX Maps
Stainless steel, pattern quality map
overlaid with the IPFX map

An IPF map combines the locally detected orientation with the crystallographic description of a single reference direction. The color coding is scaled to the reduced size of the IPF.

Euler map

An Euler map displays the detected orientation at each point on the basis of the Euler angles which are encoded in RGB.

Grain analysis

ARMCO Steel Misorientation Map
Grain Average Misorientation maps showing
the “accumulation of deformation” inside
the ARMCO steel grains at different stages
of the in-situ tensile testing experiment;
colors show orientation changes from
0 to 7 degrees

Supports detection of grains using misorientation and size criteria, ∑3 boundaries can be ignored if desired. Grains can be analyzed with respect to shape, size and main axis inclination (in case of elongated grains). Detected grains maps can be produced with the grains in random colors.

Also included are misorientation distribution analysis features. A misorientation profile along a line as well as a misorientation distribution histogram can be calculated. Misorientation maps can be displayed in form a grain average misorientation map, a kernel average misorientation map and reference misorientation map.

Texture components

ESPRIT for EBSD supports the generation of texture component maps, allowing the definition of texture components and their spread from an "ideal" orientation using a rainbow palette. This feature can also be used for the creation of subsets.

More info

QUANTAX EBSD – Reinventing EBSD (PDF brochure)