The Orientation Distribution Function edit page

The orientation distribution function (ODF), sometimes also called orientation density function, is a function on the orientation space that associates to each orientation \(g\) the volume percentage of crystals in a polycrystaline specimen that are in this specific orientation. Formaly, this is often expressed by the formula

\[\mathrm{odf}(g) = \frac{1}{V} \frac{\mathrm{d}V(g)}{\mathrm{d}g}.\]

Let us demonstrate the concept of an ODF at the example of an Titanium alloy. Using EBSD crystal orientations \(g_j\) have been measured at a hexagonal grid \((x_j,y_j)\) on the surface of the specimen. We may visualize these orientations by plotting accordingly rotated crystal shapes at the positions \((x_j,y_j)\).

% import the data
mtexdata titanium

% define the habitus of titanium as a somple hexagonal prism
cS = crystalShape.hex(ebsd.CS);

% plot colored orientations

% and on top the orientations represented by rotated hexagonal prism
hold on
hold off
ebsd = EBSD
 Phase  Orientations           Mineral         Color  Symmetry  Crystal reference frame
     0   8100 (100%)  Titanium (Alpha)  LightSkyBlue       622       X||a, Y||b*, Z||c*
 Properties: ci, grainid, iq, sem_signal, x, y
 Scan unit : um

The idea of the orientation distribution function is to forget about the spatial coordinates \((x_j,y_j)\) and consider the orientations as points in the three dimensional orientation space.

plot 2000 random orientations out of 8100 given orientations

As the orientation space is not an Euclidean one there is no canonical way of visualizing it. In the above figure orientations are represented by its three Euler angles \((\varphi_1, \Phi, \varphi_2)\). Other visualizations are discussed in the section 3D Plots. The orientation distribution function is now the relative frequency of the above points per volume element and can be computed by the command calcDensity.

odf = calcDensity(ebsd.orientations)
odf = SO3FunHarmonic (Titanium (Alpha) → xyz)
  bandwidth: 25
  weight: 1

More detais about the computation of a density function from discrete measurements can be found in the section Density Estimation.

The resulting orientation distribution function odf can be evaluated for any arbitrary orientation. Lets us e.g. consider the orientation

ori = orientation.byEuler(0,0,0,ebsd.CS);

Then value of the ODF at this orientation is

ans =

The resulting value needs to be interpreted as multiple of random distribution (mrd). This means for the specimen under investiagtion it is less likely to have an crystal with orientation (0,0,0) compared to a completely untextured specimen which has the orientation distribution function constant to \(1\).

Since, an ODF can be evaluated at any point in the orientation space we may visualize it as an contour plot in 3d

hold on
hold off
plot 2000 random orientations out of 8100 given orientations

Three dimensional plot of an ODF in Euler angle space are for various reason not very recommendet. A geometrically much more reasonable representation are so called sigma sections.