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differential equations - 2d solution to 3d using axial symmetry - Finite Element


This problem is axially symmetric. I want to solve using the Finite Element method and taking advantage of the symmetry.


(Note: eleField3D needs to be called with Cartesian coordinates)


Needs["NDSolve`FEM`"]
Clear["Global`*"]

cylinOffset = 0.0125;(*meter*)
cylinRadius = 0.0075;(*meter*)


shellRadius = 0.0233;(*meter*)
scaleLen = 2.10;

cylinVoltage = 100;

shell = ImplicitRegion[0 <= r <= shellRadius && ζ^2 <= (scaleLen shellRadius)^2, {r,ζ}];
halfTorus = ImplicitRegion[(r - cylinOffset)^2 + ζ^2 <= cylinRadius^2 && r <= cylinOffset, {r, ζ}];

reg = ToElementMesh[RegionDifference[shell, halfTorus], AccuracyGoal -> 9, PrecisionGoal -> 9, MaxCellMeasure -> 1*^-8];

RegionPlot[reg, AspectRatio -> scaleLen]

Please check that my 2D (r,z) Cylindrical Laplacian is correct.


solution =  NDSolveValue[{(1/r) D[r D[u[r, ζ], r], r] + D[u[r, ζ], {ζ, 2}] == 0,
   DirichletCondition[u[r, ζ] == 0, r == shellRadius],
   DirichletCondition[u[r, ζ] == 0, ζ^2 == (scaleLen shellRadius)^2],
   DirichletCondition[u[r, ζ] == cylinVoltage, r == cylinOffset && ζ^2 <= cylinRadius^2],
   DirichletCondition[u[r, ζ] == cylinVoltage, (r - cylinOffset)^2 + ζ^2 == cylinRadius^2 && r <= cylinOffset]},
 u, {r, ζ} ∈ reg, Method -> {"FiniteElement"}]


How do I revolve the solution to get the 3D field?


Proposed Answer:


eleFieldCylin[r_, ζ_] = -Grad[solution[r, ζ], {r, ζ}];
eleField3D[x_, y_, z_] = RotationTransform[ArcTan[x, y], {0, 0, 1}][
  Insert[eleFieldCylin[Sqrt[x^2 + y^2], z], 0, 2]];

Show[
 VectorPlot3D[eleField3D[x, y, z],
  {x, -shellRadius, shellRadius}, {y, -shellRadius, shellRadius},
  {z, -(scaleLen shellRadius), (scaleLen shellRadius)}],

 RegionPlot3D[
  DiscretizeRegion[
   ImplicitRegion[(cylinOffset - Sqrt[x^2 + y^2])^2 + z^2 <= 
      cylinRadius^2 && x^2 + y^2 <= cylinOffset^2, {x, y, z}]]]
 ]

Answer



I think the proposed answer is correct now, here's just some suggestions.


First, you can deduce Laplace equation with the help of Laplacian to avoid possible mistakes:


Laplacian[u[r, ζ], {r, th, ζ}, "Cylindrical"] == 0
(* Derivative[0, 2][u][r, ζ] + Derivative[1, 0][u][r, ζ]/r + 

     Derivative[2, 0][u][r, ζ] == 0 *)

Second, eleField3D can be defined in a clearer and simpler way with TransformField:


eleFieldCylin[r_, ζ_] = -Grad[solution[r, ζ], {r, th, ζ}, "Cylindrical"];
eleField3D[x_, y_, z_] = 
  TransformedField["Cylindrical" -> "Cartesian", 
   eleFieldCylin[r, ζ], {r, th, ζ} -> {x, y, z}]

Third, it may be better to set a region function for VectorPlot3D, for example:


regionfunc = (Function[{x, y, z}, #1] & )[

       0 <= r <= shellRadius && ζ^2 <= (scaleLen*shellRadius)^2 && 
            ! ((r - cylinOffset)^2 + ζ^2 <= cylinRadius^2 && 
                r <= cylinOffset) /. {r -> Sqrt[x^2 + y^2], ζ -> z}];

VectorPlot3D[
  (Piecewise[{{#1, regionfunc[x, y, z]}}, 
          {0, 0, 0}] & )@eleField3D[x, y, z]//Evaluate, {x, -shellRadius, shellRadius}, 
  {y, -shellRadius, shellRadius}, {z, -(scaleLen shellRadius), scaleLen shellRadius}]

4th, I think PrecisionGoal and AccuracyGoal has no obvious effect here and can be taken away. (Have you read this post?: Is manual adjustment of AccuracyGoal and PrecisionGoal useless?)



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