Exemple #1
0
for i in range(20):
    micro.grains.append(Grain(i + 1, eulers[i + 1]))
    micro.get_grain(i + 1).volume = grain_sizes[i]

# build a custom pole figure
pf = PoleFigure(microstructure=micro, hkl='001')  #, lattice=Ti7Al)
#pf.resize_markers = True
pf.mksize = 100
pf.set_map_field('strain',
                 grain_sizes,
                 field_min_level=0.0,
                 field_max_level=1000.,
                 lut='jet')
fig = plt.figure(figsize=(8, 5))
ax1 = fig.add_axes([0.05, 0.05, 0.8, 0.9], aspect='equal')
pf.plot_sst(ax=ax1, mk='o')
ax1.set_title('%s-axis SST inverse %s projection' % (pf.axis, pf.proj))

# to add the color bar
ax2 = fig.add_axes([0.85, 0.05, 0.05, 0.9])
norm = colors.Normalize(vmin=0., vmax=1000.)
cb = colorbar.ColorbarBase(ax2, cmap=cm.jet, norm=norm, orientation='vertical')
cb.set_label('Grain size (pixels)')

image_name = os.path.splitext(__file__)[0] + '.png'
print('writting %s' % image_name)
plt.savefig(image_name, format='png')

from matplotlib import image

image.thumbnail(image_name, 'thumb_' + image_name, 0.2)
Exemple #2
0
step = 1  # plot every step point
max_step = data.shape[0]

# create a microstructure with the initial grain orientation
micro = Microstructure(name='1g', autodelete=True)
g = Grain(50, Orientation.from_euler((12.293, 149.266, -167.068)))
micro.add_grains([(12.293, 149.266, -167.068)], grain_ids=[50])

ipf = PoleFigure(proj='stereo', microstructure=micro)
ipf.mksize = 100
ipf.set_map_field('grain_id')

fig = plt.figure(1, figsize=(6, 5))  # for IPF
ax1 = fig.add_subplot(111, aspect='equal')
print('** plotting the initial orientation (with label for legend) **')
ipf.plot_sst(ax=ax1, mk='.', col='k', ann=False)
ax1.set_title('grain rotation in tension')
axis = np.array([0, 0, 1])

grain = micro.get_grain(50)
cgid = Microstructure.rand_cmap().colors[grain.id]  # color by grain id
g = grain.orientation_matrix()
axis_rot_sst_prev = np.array(ipf.sst_symmetry_cubic(g.dot(axis)))
print('** plotting ipf loading axis trajectory **')
for k in range(0, max_step, step):
    rot = np.array([[R11[k], R12[k], R13[k]], [R21[k], R22[k], R23[k]],
                    [R31[k], R32[k], R33[k]]])
    # apply R^t to the initial orientation given by g
    new_g = rot.transpose().dot(g)
    axis_rot_sst = ipf.sst_symmetry_cubic(new_g.dot(axis))
    ipf.plot_line_between_crystal_dir(axis_rot_sst_prev,