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	# 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	import os
8
9	PYVISI_EXAMPLE_IMAGES_PATH = "data_sample_images"
10	X_SIZE = 400
11	Y_SIZE = 400
12	JPG_RENDERER = Renderer.ONLINE_JPG
13
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	#... generate domain ...
28	mydomain = Rectangle(l0=0.05,l1=0.01,n0=250, n1=50)
29	#... open PDE ...
30	mypde=LinearPDE(mydomain)
31	mypde.setSymmetryOn()
32	mypde.setValue(A=kappakronecker(mydomain),D=rhocp/h,d=eta,y=etaTref)
33	# ... set heat source: ....
34	x=mydomain.getX()
35	qH=qc*whereNegative(length(x-xc)-r)
36	# ... set initial temperature ....
37	T=Tref
38
39	# Create a Scene.
40	s = Scene(renderer = JPG_RENDERER, x_size = X_SIZE, y_size = Y_SIZE)
41
42	# Create a DataCollector reading directly from escript objects.
43	dc = DataCollector(source = Source.ESCRIPT)
44
45	# Create a Map.
46	m = Map(scene = s, data_collector = dc,
47	viewport = Viewport.SOUTH_WEST, lut = Lut.COLOR,
48	cell_to_point = False, outline = True)
49
50	# Create a Camera.
51	c = Camera(scene = s, viewport = Viewport.SOUTH_WEST)
52
53	# ... start iteration:
54	while t<0.4:
55	i+=1
56	t+=h
57	mypde.setValue(Y=qH+rhocp/h*T)
58	T=mypde.getSolution()
59
60	dc.setData(temp = T)
61
62	# Render the object.
63	s.render(image_name = os.path.join(PYVISI_EXAMPLE_IMAGES_PATH,
64	"diffusion%02d.jpg") % i)
65