docu

doc/CrystalGeometry/CrystalReferenceSystem.m

@@ -94,22 +94,21 @@
 
 close all
 figure(1)
-plot(cS_x2a,'figSize','small')
+plot(cS_x2a,'figSize','small','colored')
 hold on
-arrow3d(0.5*[xvector,yvector,zvector],'labeled')
+arrow3d(0.6*[xvector,yvector,zvector],'labeled')
 hold off
 
 %%
 
 cS_y2a = crystalShape.quartz(cs_y2a);
 
 figure(2)
-plot(cS_y2a,'figSize','small')
+plot(cS_y2a,'figSize','small','colored')
 hold on
-arrow3d(0.5*[xvector,yvector,zvector],'labeled')
+arrow3d(0.6*[xvector,yvector,zvector],'labeled')
 hold off
 
-
 %%
 % Most important is the difference if Euler angles are used to describe
 % orientation. Lets consider the following two orientations
@@ -144,7 +143,6 @@
 
 ori_x2a.transformReferenceFrame(cs_y2a)
 
-
 %% Triclinic and monoclinic symmetries
 %
 % In triclinic and monoclinic symmetries even more different setups are

doc/CrystalGeometry/CrystalShapes.m

@@ -183,25 +183,25 @@
 plot(cS)
 
 %%
-% i.e. we see only  the positive and negative rhomboedrons, but the
+% i.e. we see only  the positive and negative rhododendrons, but the
 % hexagonal prism are to far away from the origin to cut the shape. We may
 % decrease the distance, by multiplying the corresponding normal with a
 % factor larger then 1.
 
 N = [2*m,r,z];
 
 cS = crystalShape(N);
-plot(cS)
+plot(cS,'colored')
 
 %%
-% Next in a typical Quartz crystal the negative rhomboedron is a bit smaller
-% then the positive rhomboedron. Lets correct for this.
+% Next in a typical Quartz crystal the negative rhododendron is a bit smaller
+% then the positive rhododendron. Lets correct for this.
 
 % collect the face normal with the right scaling
 N = [2*m,r,0.9*z];
 
 cS = crystalShape(N);
-plot(cS)
+plot(cS,'colored')
 
 %%
 % Finally, we add the tridiagonal bipyramid and the positive Trapezohedron
@@ -210,26 +210,8 @@
 N = [2*m,r,0.9*z,0.7*s1,0.3*x1];
 
 cS = crystalShape(N);
-plot(cS)
-
-%% Marking crystal faces
-% We may colorize the faces according to their lattice planes using the
-% command
-
 plot(cS,'colored')
 
-%%
-% or even label the faces directly
-
-plot(cS)
-N = unique(cS.N.symmetrise,'noSymmetry','stable');
-fC = cS.faceCenter;
-
-for i = 1:length(N)
-  text3(fC(i),char(round(N(i)),'latex'),'scaling',1.1,'interpreter','latex')
-end
-
-
 
 %% Defining complicated crystals more simple
 % We see that defining a complicated crystal shape is a tedious work. To
@@ -252,9 +234,9 @@
 %%
 % The scale parameter models the inverse extension of the crystal in each
 % dimension. In order to make the crystal a bit longer and the negative
-% rhomboedrons smaller we could do
+% rhododendrons smaller we could do
 
-extension = [0.9 1.1 1];
+extension = [1 1.2 1.1];
 cS = crystalShape(N,habitus,extension);
 plot(cS,'colored')
 
@@ -283,6 +265,9 @@
 plot(cS(Miller(0,-1,1,0,cs)),'FaceColor','DarkRed') 
 hold off
 
+% zoom a bit out to fit the screen
+camzoom(0.7)
+
 %% Gallery of hardcoded crystal shapes
 
 plot(crystalShape.olivine,'colored')

doc/CrystalOrientations/OrientationFundamentalRegion.m

@@ -64,6 +64,7 @@
 
 close all
 plot(oR_all)
+axis off
 hold on
 plot(oR,'color','r')
 hold off

doc/EBSDAnalysis/EBSDIPFMap.m

@@ -106,7 +106,7 @@
 %%
 % Instead of colorizing which crystal axis is pointing out of the specimen
 % surface we may also colorizing which crystal axis is pointing towards the
-% rolling or folliation direction or any other specimen fixed direction.
+% rolling or foliation direction or any other specimen fixed direction.
 % This reference direction is stored as the property
 % |inversePoleFigureDirection| in the color key.
 

doc/EBSDAnalysis/EBSDKAM.m

@@ -76,10 +76,10 @@
 % been reconstructed and the property |ebsd.grainId| has been set (as we
 % did above) only misorientations within the same grain are considered. As
 % a consequence the resulting KAM map is dominated by the orientation
-% gradients at the subgrain boundaries.
+% gradients at the sub-grain boundaries.
 %
 % Specifying a reasonable small threshold angle $\delta=2.5^{\circ}$ the
-% subgrain boundaries can be effectively removed from the KAM.
+% sub-grain boundaries can be effectively removed from the KAM.
 
 plot(ebsd,ebsd.KAM('threshold',2.5*degree) ./ degree,'micronbar','off')
 setColorRange([0,2])
@@ -103,7 +103,7 @@
 hold off
 
 %% 
-% Although this reduced noise it also smooths away local dislocation
+% Although this reduces noise it also smooths away local dislocation
 % structures. A much more effective way to reduce the effect of measurement
 % errors to the kernel average misorientation is to denoise the EBSD map
 % first and compute than the KAM from the first order neighbors. 
@@ -125,7 +125,7 @@
 hold off
 
 %%
-% We observe that the KAM is not longer related to subgrain boundaries and
+% We observe that the KAM is not longer related to sub-grain boundaries and
 % nicely reveals local dislocation structures of the deformed material.
 %
 %% Some helper functions

doc/EBSDAnalysis/EBSDOrientationAnalysis.m

@@ -2,29 +2,26 @@
 %
 %% 
 % Here we discuss tools for the analysis of EBSD data which are independent
-% of its spatial coordinates. For spatial analysis, we refer to <xxx.html
-% this page>. Let us first import some EBSD data:
-%
+% of its spatial coordinates. For spatial analysis, we refer to
+% <EBSDProfile.html this page>. Let us first import some EBSD data:
 
-plotx2east
-ebsd = EBSD.load(fullfile(mtexDataPath,'EBSD','Forsterite.ctf'),...
-  'convertEuler2SpatialReferenceFrame');
+mtexdata forsterite silent
 
+plotx2east
 plot(ebsd)
 
 %% Orientation plot
-%
-% We start our investigations of the Forsterite phase by plotting some
-% pole figures
+% We start our investigations of the Forsterite phase by plotting some pole
+% figures
 
 cs = ebsd('Forsterite').CS % the crystal symmetry of the forsterite phase
 h = [Miller(1,0,0,cs),Miller(0,1,0,cs),Miller(0,0,1,cs)];
 plotPDF(ebsd('Forsterite').orientations,h,'antipodal')
 
 %%
-% From the {100} pole figure, we might suspect a fibre texture present in our
-% data. Let's check this. First, we determine the vector orthogonal to fibre
-% in the {100} pole figure
+% From the {100} pole figure, we might suspect a fibre texture present in
+% our data. Let's check this. First, we determine the vector orthogonal to
+% fibre in the {100} pole figure
 
 % the orientations of the Forsterite phase
 ori = ebsd('Forsterite').orientations
@@ -35,17 +32,21 @@
 rOrth = perp(r)
 
 % output
-hold on
-plot(rOrth)
-hold off
+plot(rOrth,'add2all','Marker','square','markerColor','DarkRed')
+
 
 %%
 % we can check how large is the number of orientations that are in the
 % (100) pole figure within a 10-degree fibre around the great circle with
-% center |rOrth|. The following line gives the result in percent
+% center |rOrth|, i.e., in the region bounded by the two small circles
 
-100 * sum(angle(r,rOrth)>80*degree) / length(ori)
+nextAxis(1)
+circle(rOrth,80 * degree,'lineColor','darkred','linewidth',5,'EdgeAlpha',0.5)
+
+%% 
+% The following line gives the result in percent
 
+100 * sum(angle(r,rOrth)>80*degree) / length(ori)
 
 %%
 % Next, we want to answer the question which crystal direction is mapped to
@@ -55,9 +56,9 @@
 mtexColorbar
 
 %%
-%From the inverse pole figure, it becomes clear that the orientations are
-% close to the fibre |Miller(0,1,0)|, |rOrth|. Let's check this by computing
-% the fibre volume in percent
+% From the inverse pole figure, it becomes clear that the orientations are
+% close to the fibre |Miller(0,1,0)|, |rOrth|. Let's check this by
+% computing the fibre volume in percent
 
 % define the fibre
 f = fibre(Miller(0,1,0,cs),rOrth);
@@ -73,7 +74,7 @@
 odf = calcDensity(ebsd('Forsterite').orientations)
 
 % plot the odf along the fibre
-plot(odf,f)
+plot(odf,f,'linewidth',2)
 ylim([0,26])
 
 %%

doc/EBSDAnalysis/EBSDPlotting.m

@@ -21,7 +21,7 @@
 
 %%
 % These values are RGB values which can be altered to any other RGB triple.
-% A more convinient way for changing the color is the function
+% A more convenient way for changing the color is the function
 % <str2rgb.html str2rgb> which converts color names into RGB triplets
 
 ebsd('Diopside').color = str2rgb('salmon');
@@ -44,7 +44,7 @@
 
 plot(ebsd,ebsd.bc)
 
-colormap gray % make the image grayscale
+colormap gray % make the image gray-scale
 mtexColorbar
 
 %% Visualizing orientations
@@ -58,9 +58,9 @@
 mtexColorbar
 
 %%
-% Obviously, the rotational angle is not a very distintive representative
+% Obviously, the rotational angle is not a very distinctive representative
 % for orientations. A more common approach is to define a colorization of
-% the fundamental secor of the inverse pole figure, a so called ipf color
+% the fundamental sector of the inverse pole figure, a so called ipf color
 % key, and to colorize orientations according to their position in a fixed
 % inverse pole figure. Let's consider the following standard key.
 
@@ -73,27 +73,28 @@
 
 %%
 % Next we may utilize this key to turn the orientations into colors, which
-% are than passed to the <EBSD.plot.html plot> command.
+% are than passed to the <EBSD.plot.html |plot|> command.
 
 colors = ipfKey.orientation2color(ebsd('Forsterite').orientations);
 plot(ebsd('Forsterite'),colors)
 
 %%
-% The above ipf color key can be largely customizied. This is explained in
+% The above ipf color key can be largely customized. This is explained in
 % more detail in <EBSDIPFMap IPF Maps>. Beside IPF maps there are also more
 % specific ways to colorize orientations as they are discussed in
 % <EBSDAdvancedMaps.html Advanced Plotting>.
 %
 %% Superposing different plots
 % Combining different plots can be done either by plotting only subsets of
-% the EBSD data or via the option |'faceAlpha'|. Note that the option
-% |'faceAlpha'| requires the renderer of the figure to be set to
-% |'opengl'|.
+% the EBSD data or using the option |'faceAlpha'| to control transparency.
 
 close all;
 plot(ebsd,ebsd.bc)
 mtexColorMap black2white
 
 hold on
-plot(ebsd('fo'),'FaceAlpha',0.5)
+plot(ebsd('Forsterite'),colors,'FaceAlpha',0.5)
 hold off
+
+
+

doc/Elasticity/IsotropicTheory.m

@@ -31,7 +31,7 @@
 %
 % An isotropic Albite material we assume here to consist of randomly
 % oriented grains forming an uniform (isotropic) texture. In this case the
-% Voigt and Reuss avarages provide upper and lower bounds for the elastic
+% Voigt and Reuss averages provide upper and lower bounds for the elastic
 % properties of the material. 
 
 [C_iso_Voigt,C_iso_Reuss,C_iso_Hill] = mean(C,uniformODF(C.CS))
@@ -94,7 +94,7 @@
 
 %% Lame constants
 %
-% The second way to represent the elastic behaviour of an isotropic medium
+% The second way to represent the elastic behavior of an isotropic medium
 % is by means of the Lame constants
 
 lambda = nu/(1-2*nu) /(1+nu) * E;
@@ -135,7 +135,7 @@
 %
 %% 
 % The upper and lower Hashin-Shtrikman bounds for the bulk and shear
-% moduli are found as a solution of an optimzation problem. Lets first set
+% moduli are found as a solution of an optimization problem. Lets first set
 % up the search domain
 
 % define a 2 dimensional domain of bulk and shear moduli
@@ -147,7 +147,7 @@
 
 %% 
 % Next the initial stiffness tensor is updated such that the residual
-% stiffness tensor |R| remains either possitve or negative definite.
+% stiffness tensor |R| remains either positive or negative definite.
 % 
 
 tic