Twinning Analysis edit page

In this section we consider the analysis of twining. Therefore lets start by importing some Magnesium data and reconstructing the grain structure.

% load some example data
mtexdata twins

% segment grains
[grains,ebsd.grainId,ebsd.mis2mean] = calcGrains(ebsd('indexed'),'angle',5*degree);

% remove two pixel grains
ebsd(grains(grains.grainSize<=2)) = [];
[grains,ebsd.grainId,ebsd.mis2mean] = calcGrains(ebsd('indexed'),'angle',5*degree);

% smooth them
grains = grains.smooth(5);

% visualize the grains
plot(grains,grains.meanOrientation)

% store crystal symmetry of Magnesium
CS = grains.CS;
ebsd = EBSD
 
 Phase  Orientations     Mineral         Color  Symmetry  Crystal reference frame
     0     46 (0.2%)  notIndexed                                                 
     1  22833 (100%)   Magnesium  LightSkyBlue     6/mmm       X||a*, Y||b, Z||c*
 
 Properties: bands, bc, bs, error, mad, x, y
 Scan unit : um

Next we extract the grainboundaries and save them to a separate variable

gB = grains.boundary
gB = grainBoundary
 
 Segments   mineral 1  mineral 2
      600  notIndexed  Magnesium
     3164   Magnesium  Magnesium

The output tells us that we have 3219 Magnesium to Magnesium boundary segments and 606 boundary segements where the grains are cut by the scanning boundary. To restrict the grain boundaries to a specific phase transistion you shall do

gB_MgMg = gB('Magnesium','Magnesium')
gB_MgMg = grainBoundary
 
 Segments  mineral 1  mineral 2
     3164  Magnesium  Magnesium

Properties of grain boundaries

A variable of type grain boundary contains the following properties

  • misorientation
  • direction
  • segLength

These can be used to colorize the grain boundaries. By the following command, we plot the grain boundaries colorized by the misorientation angle

plot(gB_MgMg,gB_MgMg.misorientation.angle./degree,'linewidth',2)
mtexColorbar

We observe that we have many grain boundaries with misorientation angle larger than 80 degree. In order to investigate the distribution of misorientation angles further we have the look at a misorientation angle histogramm.

close all
histogram(gB_MgMg.misorientation.angle./degree,40)
xlabel('misorientation angle (degree)')

Lets analyze the misorientations corresponding to the peak around 86 degree in more detail. Therefore, we consider only those misorientations with misorientation angle between 85 and 87 degree

ind = gB_MgMg.misorientation.angle>85*degree & gB_MgMg.misorientation.angle<87*degree;
mori = gB_MgMg.misorientation(ind);

and observe that when plotted in axis angle domain they form a strong cluster close to one of the corners of the domain.

scatter(mori)

We may determin the center of the cluster and check whether it is close to some special orientation relation ship

% determine the mean of the cluster
mori_mean = mean(mori,'robust')

% determine the closest special orientation relation ship
round2Miller(mori_mean)
mori_mean = misorientation (Magnesium → Magnesium)
  antipodal:         true
 
  Bunge Euler angles in degree
     phi1     Phi    phi2    Inv.
  90.5949 86.0962 269.995       0
 
 
      plane parallel   direction parallel      fit
(01-1-1) || (-110-1)   [10-11] || [10-1-1]     0.628°

Bases on the output above we may now define the special orientation relationship as

twinning = orientation.map(Miller(0,1,-1,-1,CS),Miller(-1,1,0,-1,CS),...
  Miller(1,0,-1,1,CS,'uvw'),Miller(1,0,-1,-1,CS,'uvw'))
twinning = misorientation (Magnesium → Magnesium)
 
 (01-1-1) || (-110-1)   [10-11] || [10-1-1]

and observe that it is actually a rotation about axis (-1210) and angle 86.3 degree

% the rotational axis
round(twinning.axis)

% the rotational angle
twinning.angle / degree
ans = Miller (Magnesium)
   h  k  i  l
  -1  2 -1  0
ans =
   86.2992

Next, we check for each boundary segment whether it is a twinning boundary, i.e., whether boundary misorientation is close to the twinning.

% restrict to twinnings with threshold 5 degree
isTwinning = angle(gB_MgMg.misorientation,twinning) < 5*degree;
twinBoundary = gB_MgMg(isTwinning)

% plot the twinning boundaries
plot(grains,grains.meanOrientation)
%plot(ebsd('indexed'),ebsd('indexed').orientations)
hold on
%plot(gB_MgMg,angle(gB_MgMg.misorientation,twinning),'linewidth',4)
plot(twinBoundary,'linecolor','w','linewidth',4,'displayName','twin boundary')
hold off
twinBoundary = grainBoundary
 
 Segments  mineral 1  mineral 2
     1649  Magnesium  Magnesium

A common next step is to reconstruct the grain structure parent to twinning by merging the twinned grains. This is explained in detail in the section Merging Grains.