examples/pyvisi/diffusion_with_pyvisi.py

"""
Author: Lutz Gross, l.gross@uq.edu.au
Author: John Ngui, john.ngui@uq.edu.au
"""

# 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	"""
2	Author: Lutz Gross, l.gross@uq.edu.au
3	Author: John Ngui, john.ngui@uq.edu.au
4	"""
5
6	# Import the necessary modules.
7	from esys.escript import *
8	from esys.escript.linearPDEs import LinearPDE
9	from esys.finley import Rectangle
10	from esys.pyvisi import Scene, DataCollector, Map, Camera
11	from esys.pyvisi.constant import *
12	import os
13
14	PYVISI_EXAMPLE_IMAGES_PATH = "data_sample_images"
15	X_SIZE = 400
16	Y_SIZE = 400
17	JPG_RENDERER = Renderer.ONLINE_JPG
18
19	#... set some parameters ...
20	xc=[0.02,0.002]
21	r=0.001
22	qc=50.e6
23	Tref=0.
24	rhocp=2.6e6
25	eta=75.
26	kappa=240.
27	tend=5.
28	# ... time, time step size and counter ...
29	t=0
30	h=0.1
31	i=0
32
33	#... generate domain ...
34	mydomain = Rectangle(l0=0.05,l1=0.01,n0=250, n1=50)
35	#... open PDE ...
36	mypde=LinearPDE(mydomain)
37	mypde.setSymmetryOn()
38	mypde.setValue(A=kappakronecker(mydomain),D=rhocp/h,d=eta,y=etaTref)
39	# ... set heat source: ....
40	x=mydomain.getX()
41	qH=qc*whereNegative(length(x-xc)-r)
42	# ... set initial temperature ....
43	T=Tref
44
45	# Create a Scene.
46	s = Scene(renderer = JPG_RENDERER, x_size = X_SIZE, y_size = Y_SIZE)
47
48	# Create a DataCollector reading directly from escript objects.
49	dc = DataCollector(source = Source.ESCRIPT)
50
51	# Create a Map.
52	m = Map(scene = s, data_collector = dc, \
53	viewport = Viewport.SOUTH_WEST, lut = Lut.COLOR, \
54	cell_to_point = False, outline = True)
55
56	# Create a Camera.
57	c = Camera(scene = s, viewport = Viewport.SOUTH_WEST)
58
59	# ... start iteration:
60	while t<0.4:
61	i+=1
62	t+=h
63	mypde.setValue(Y=qH+rhocp/h*T)
64	T=mypde.getSolution()
65
66	dc.setData(temp = T)
67
68	# Render the object.
69	s.render(image_name = os.path.join(PYVISI_EXAMPLE_IMAGES_PATH, \
70	"diffusion%02d.jpg") % i)
71