examples/pyvisi/diffusion_with_pyvisi.py

# Import the necessary modules.
from esys.escript import *
from esys.escript.linearPDEs import LinearPDE
from esys.finley import Rectangle
from esys.pyvisi import Scene, DataCollector, Map, Camera
from esys.pyvisi.constant import *
import os

PYVISI_EXAMPLE_IMAGES_PATH = "data_sample_images"
X_SIZE = 400
Y_SIZE = 400
JPG_RENDERER = Renderer.ONLINE_JPG

#... set some parameters ...
xc=[0.02,0.002]
r=0.001
qc=50.e6
Tref=0.
rhocp=2.6e6
eta=75.
kappa=240.
tend=5.
# ... time, time step size and counter ...
t=0
h=0.1
i=0

#... generate domain ...
mydomain = Rectangle(l0=0.05,l1=0.01,n0=250, n1=50)
#... open PDE ...
mypde=LinearPDE(mydomain)
mypde.setSymmetryOn()
mypde.setValue(A=kappa*kronecker(mydomain),D=rhocp/h,d=eta,y=eta*Tref)
# ... set heat source: ....
x=mydomain.getX()
qH=qc*whereNegative(length(x-xc)-r)
# ... set initial temperature ....
T=Tref

# Create a Scene.
s = Scene(renderer = JPG_RENDERER, x_size = X_SIZE, y_size = Y_SIZE)

# Create a DataCollector reading directly from escript objects.
dc = DataCollector(source = Source.ESCRIPT)

# Create a Map.
m = Map(scene = s, data_collector = dc, \
        viewport = Viewport.SOUTH_WEST, lut = Lut.COLOR, \
        cell_to_point = False, outline = True)

# Create a Camera.
c = Camera(scene = s, viewport = Viewport.SOUTH_WEST)

# ... start iteration:
while t<0.4:
      i+=1
      t+=h
      mypde.setValue(Y=qH+rhocp/h*T)
      T=mypde.getSolution()

      dc.setData(temp = T)
      
      # Render the object.
      s.render(image_name = os.path.join(PYVISI_EXAMPLE_IMAGES_PATH, \
              "diffusion%02d.jpg") % i)

1	ksteube	1147	# Import the necessary modules.
2			from esys.escript import *
3			from esys.escript.linearPDEs import LinearPDE
4			from esys.finley import Rectangle
5			from esys.pyvisi import Scene, DataCollector, Map, Camera
6			from esys.pyvisi.constant import *
7	jongui	1148	import os
8	ksteube	1147
9	jongui	1148	PYVISI_EXAMPLE_IMAGES_PATH = "data_sample_images"
10	ksteube	1147	X_SIZE = 400
11			Y_SIZE = 400
12	jongui	1148	JPG_RENDERER = Renderer.ONLINE_JPG
13	ksteube	1147
14			#... set some parameters ...
15			xc=[0.02,0.002]
16			r=0.001
17			qc=50.e6
18			Tref=0.
19			rhocp=2.6e6
20			eta=75.
21			kappa=240.
22			tend=5.
23			# ... time, time step size and counter ...
24			t=0
25			h=0.1
26			i=0
27	jongui	1153
28	ksteube	1147	#... generate domain ...
29			mydomain = Rectangle(l0=0.05,l1=0.01,n0=250, n1=50)
30			#... open PDE ...
31			mypde=LinearPDE(mydomain)
32			mypde.setSymmetryOn()
33			mypde.setValue(A=kappakronecker(mydomain),D=rhocp/h,d=eta,y=etaTref)
34			# ... set heat source: ....
35			x=mydomain.getX()
36			qH=qc*whereNegative(length(x-xc)-r)
37			# ... set initial temperature ....
38			T=Tref
39
40			# Create a Scene.
41			s = Scene(renderer = JPG_RENDERER, x_size = X_SIZE, y_size = Y_SIZE)
42	jongui	1148
43	ksteube	1147	# Create a DataCollector reading directly from escript objects.
44			dc = DataCollector(source = Source.ESCRIPT)
45
46	jongui	1148	# Create a Map.
47	jongui	1158	m = Map(scene = s, data_collector = dc, \
48			viewport = Viewport.SOUTH_WEST, lut = Lut.COLOR, \
49	ksteube	1147	cell_to_point = False, outline = True)
50
51	jongui	1148	# Create a Camera.
52			c = Camera(scene = s, viewport = Viewport.SOUTH_WEST)
53
54	ksteube	1147	# ... start iteration:
55	jongui	1148	while t<0.4:
56	ksteube	1147	i+=1
57			t+=h
58			mypde.setValue(Y=qH+rhocp/h*T)
59			T=mypde.getSolution()
60
61			dc.setData(temp = T)
62
63			# Render the object.
64	jongui	1158	s.render(image_name = os.path.join(PYVISI_EXAMPLE_IMAGES_PATH, \
65	jongui	1148	"diffusion%02d.jpg") % i)
66	ksteube	1147