This page was generated from unit-2.4-Maxwell/Maxwell.ipynb.
2.4 Maxwell’s Equations¶
[Peter Monk: "Finite Elements for Maxwell’s Equations"]
Magnetostatic field generated by a permanent magnet¶
magnetic flux \(B\), magnetic field \(H\), given magnetization \(M\):
Introducing a vector-potential \(A\) such that \(B = \Curl A\), and putting equations together we get
In weak form: Find \(A \in H(\Curl)\) such that
Usually, the permeability \(\mu\) is given as \(\mu = \mu_r \mu_0\), with \(\mu_0 = 4 \pi 10^{-7}\) the permeability of vacuum.
[1]:
from ngsolve import *
from ngsolve.webgui import Draw
from netgen.occ import *
Geometric model and meshing of a bar magnet:
[2]:
# box = OrthoBrick(Pnt(-3,-3,-3),Pnt(3,3,3)).bc("outer")
# magnet = Cylinder(Pnt(-1,0,0),Pnt(1,0,0), 0.3) * OrthoBrick(Pnt(-1,-3,-3),Pnt(1,3,3))
# air = box - magnet
box = Box( (-3,-3,-3), (3,3,3))
box.faces.name = "outer"
magnet = Cylinder((-1,0,0),X, r=0.3, h=2)
magnet.mat("magnet")
magnet.faces.col = (1,0,0)
air = box-magnet
air.mat("air")
shape = Glue([air,magnet])
geo = OCCGeometry(shape)
Draw (shape, clipping={ "z" : -1, "function":True})
mesh = Mesh(geo.GenerateMesh(maxh=2, curvaturesafety=1))
mesh.Curve(3);
[3]:
mesh.GetMaterials(), mesh.GetBoundaries()
[3]:
(('air', 'magnet'),
('outer',
'outer',
'outer',
'outer',
'outer',
'outer',
'default',
'default',
'default'))
Define space, forms and preconditioner.
To obtain a regular system matrix, we regularize by adding a very small \(L_2\) term.
We solve magnetostatics, so we can gauge by adding and arbitrary gradient field. A cheap possibility is to delete all basis-functions which are gradients (flag 'nograds')
[4]:
fes = HCurl(mesh, order=3, dirichlet="outer", nograds=True)
print ("ndof =", fes.ndof)
u,v = fes.TnT()
from math import pi
mu0 = 4*pi*1e-7
mur = mesh.MaterialCF({"magnet" : 1000}, default=1)
a = BilinearForm(fes)
a += 1/(mu0*mur)*curl(u)*curl(v)*dx + 1e-8/(mu0*mur)*u*v*dx
c = Preconditioner(a, "bddc")
f = LinearForm(fes)
mag = mesh.MaterialCF({"magnet" : (1,0,0)}, default=(0,0,0))
f += mag*curl(v) * dx("magnet")
ndof = 32867
Assemble system and setup preconditioner using task-parallelization:
[5]:
with TaskManager():
a.Assemble()
f.Assemble()
Finally, declare GridFunction and solve by preconditioned CG iteration:
[6]:
gfu = GridFunction(fes)
with TaskManager():
solvers.CG(sol=gfu.vec, rhs=f.vec, mat=a.mat, pre=c.mat, printrates=True)
CG iteration 1, residual = 0.004809678530125145
CG iteration 2, residual = 0.0033223190132442393
CG iteration 3, residual = 0.003311588317754
CG iteration 4, residual = 0.0027467579779245762
CG iteration 5, residual = 0.00146587652705953
CG iteration 6, residual = 0.001216702499924428
CG iteration 7, residual = 0.0008096582309573243
CG iteration 8, residual = 0.0006570076838867986
CG iteration 9, residual = 0.0004750869183442844
CG iteration 10, residual = 0.00036224214074475773
CG iteration 11, residual = 0.00025441834248533
CG iteration 12, residual = 0.0001619498909443684
CG iteration 13, residual = 0.00011358302702051988
CG iteration 14, residual = 8.950382818008502e-05
CG iteration 15, residual = 5.394126812310899e-05
CG iteration 16, residual = 3.916041789109375e-05
CG iteration 17, residual = 2.7082318502623126e-05
CG iteration 18, residual = 1.824965758379731e-05
CG iteration 19, residual = 1.3587943571834802e-05
CG iteration 20, residual = 9.956118772511372e-06
CG iteration 21, residual = 1.2067839865493158e-05
CG iteration 22, residual = 5.640182002813021e-06
CG iteration 23, residual = 3.5936108230262036e-06
CG iteration 24, residual = 2.5589065296008695e-06
CG iteration 25, residual = 1.9779477578630246e-06
CG iteration 26, residual = 1.2770934675906862e-06
CG iteration 27, residual = 8.740832403615559e-07
CG iteration 28, residual = 5.927228746857059e-07
CG iteration 29, residual = 4.008901703446769e-07
CG iteration 30, residual = 2.856458196958157e-07
CG iteration 31, residual = 2.029268584657531e-07
CG iteration 32, residual = 1.3199636986505016e-07
CG iteration 33, residual = 9.850315507177106e-08
CG iteration 34, residual = 6.734296264850831e-08
CG iteration 35, residual = 4.756003195293242e-08
CG iteration 36, residual = 2.9170049561648474e-08
CG iteration 37, residual = 2.540969389566052e-08
CG iteration 38, residual = 2.4053195669417698e-08
CG iteration 39, residual = 1.3051726291885532e-08
CG iteration 40, residual = 8.395670269788825e-09
CG iteration 41, residual = 5.7119803186982015e-09
CG iteration 42, residual = 4.1810498554626856e-09
CG iteration 43, residual = 2.794949339601898e-09
CG iteration 44, residual = 1.8595331195571576e-09
CG iteration 45, residual = 1.2654495195522742e-09
CG iteration 46, residual = 8.583836343093571e-10
CG iteration 47, residual = 5.766587122613987e-10
CG iteration 48, residual = 4.2177693854104394e-10
CG iteration 49, residual = 2.7611850264735206e-10
CG iteration 50, residual = 2.1705243041677977e-10
CG iteration 51, residual = 1.285928455602624e-10
CG iteration 52, residual = 8.636562230513824e-11
CG iteration 53, residual = 6.807728128616709e-11
CG iteration 54, residual = 7.63062784596795e-11
CG iteration 55, residual = 3.490053394870235e-11
CG iteration 56, residual = 2.3631102515413396e-11
CG iteration 57, residual = 1.8882643642161468e-11
CG iteration 58, residual = 1.339479968997551e-11
CG iteration 59, residual = 8.562019126678948e-12
CG iteration 60, residual = 5.930136943979643e-12
CG iteration 61, residual = 3.94318639425584e-12
CG iteration 62, residual = 2.6956709679570584e-12
CG iteration 63, residual = 1.7387110138208024e-12
CG iteration 64, residual = 1.2104139652693475e-12
CG iteration 65, residual = 7.623361151316831e-13
CG iteration 66, residual = 4.941729633869317e-13
CG iteration 67, residual = 3.207446193828603e-13
CG iteration 68, residual = 2.1527154498816213e-13
CG iteration 69, residual = 2.5522306807009677e-13
CG iteration 70, residual = 1.4512083605132396e-13
CG iteration 71, residual = 9.432259758268807e-14
CG iteration 72, residual = 6.131252445381803e-14
CG iteration 73, residual = 4.207027708399586e-14
CG iteration 74, residual = 2.7630431712819065e-14
CG iteration 75, residual = 1.7681191694472963e-14
CG iteration 76, residual = 1.1773431589919305e-14
CG iteration 77, residual = 8.945815612146225e-15
CG iteration 78, residual = 6.766476729378386e-15
CG iteration 79, residual = 4.027448452494852e-15
[7]:
Draw (curl(gfu), mesh, "B-field", draw_surf=False, \
clipping = { "z" : -1, "function":True}, \
vectors = { "grid_size":50}, min=0, max=2e-5);
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