© meg/aol ‘02 module 2: diffusion in generalized media diffusion in solids professor martin eden...
DESCRIPTION
© meg/aol ‘02 Diffusivity Tensor The diffusivity is defined operationally as the ratio of the flux magnitude to the magnitude of the concentration gradient. Equivalently, the diffusivity is the constant of proportionality between flux and gradient. Tensor form for Fick’s 1st law. The vector flux may be expanded as e3e3 e2e2 e1e1 Triad of unit vectorsTRANSCRIPT
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Module 2: Diffusion In Generalized Media
DIFFUSION IN SOLIDS
Professor Martin Eden GlicksmanProfessor Afina Lupulescu
Rensselaer Polytechnic InstituteTroy, NY, 12180
USA
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Outline• Diffusivity tensor• Principal directions
– Antisymmetric contribution– Symmetric contribution
• Diffusion in generalized media• Cauchy relations• Influence of imposed symmetry: Neumann’s Principle
– Rotational symmetry operations– Isotropic materials– Cubic crystals– Orthotropic materials– Orthorhombic crystals– Monoclinic crystals– Triclinic crystals
decreasing symmetry
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Diffusivity Tensor
J i =− Dij{ } ∂C∂xj
⎛ ⎝ ⎜
⎞ ⎠ ⎟ i, j =1,2,3( )
The diffusivity is defined operationally as the ratio of the flux magnitude to the magnitude of the concentration gradient. Equivalently, the diffusivity is the constant of proportionality between flux and gradient.
Tensor form for Fick’s 1st law.
J r( )=J 1e1 +J 2e2 +J 3e3
The vector flux may be expanded as e3
e2
e1
Triad of unit vectors
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Diffusivity Tensor
Dij[ ]=D11 D12 D13
D21 D22 D23
D31 D32 D33
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
Elements comprisingthe matrix diffusivity.
J 1 =−D11∂C∂x1
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D12∂C∂x2
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D13∂C∂x3
⎛ ⎝ ⎜ ⎞
⎠ ⎟
J 2 =−D21∂C∂x1
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D22∂C∂x2
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D23∂C∂x3
⎛ ⎝ ⎜ ⎞
⎠ ⎟
J 3 =−D31∂C∂x1
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D32∂C∂x2
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D33∂C∂x3
⎛ ⎝ ⎜
⎞ ⎠ ⎟
⎫
⎬
⎪ ⎪ ⎪ ⎪
⎭
⎪ ⎪ ⎪ ⎪
Fick’s 1st law in component form Cartesian coordinates
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Binary Diffusivity Tensor
A = antisymmetric component
S = symmetric component Dij[ ]S ≡12 Dij +Dji( )= Dji[ ]S
Dij[ ]A ≡12 Dij −Dji( )=- Dji[ ]A
Dij[ ]S+Dij[ ]ADij[ ]=
Any square matrix may be decomposed into the sum of a symmetric part and an antisymmetric part.
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Binary Diffusivity Tensor
A = antisymmetric matrix:
S = symmetric matrix:
Dij[ ]S =D11
12 D12 +D21( ) 1
2 D13 +D31( )12 D21+D12( ) D22
12 D23 +D32( )
12 D31+D13( ) 1
2 D32 +D23( ) D33
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
Dij[ ]A =0 1
2 D12 −D21( ) 12 D13−D31( )
12 D21−D12( ) 0 1
2 D23−D32( )12 D31−D13( ) 1
2 D32−D23( ) 0
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
Dij[ ]S+Dij[ ]ADij[ ]=
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S = symmetric matrix:
Dij[ ]S =
D1112 D12 +D21( ) 1
2 D13 +D31( )
12 D21+D12( ) D22
12 D23 +D32( )
12 D31+D13( ) 1
2 D32 +D23( ) D33
⎡
⎣
⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥
Dij= Dji
Binary Diffusivity Tensor
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A = antisymmetric matrix:
Dij[ ]A =
0 12 D12 −D21( ) 1
2 D13−D31( )
12 D21−D12( ) 0 1
2 D23−D32( )
12 D31−D13( ) 1
2 D32−D23( ) 0
⎡
⎣
⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥
Dij= -Dji
Binary Diffusivity Tensor
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Diffusion in Generalized Media
∂C∂t
=−∇⋅J
∂C∂t
=∇ ⋅ Dij[ ]S ∂C∂xj
⎛ ⎝ ⎜
⎞ ⎠ ⎟ ej + Dij[ ]A ∂C
∂xj
⎛ ⎝ ⎜
⎞ ⎠ ⎟ ej
⎛ ⎝ ⎜
⎞ ⎠ ⎟
Mass conservation
∂C∂t
=−∇⋅− Dij[ ] ⋅ ∂C∂xj
⎛ ⎝ ⎜
⎞ ⎠ ⎟ ej
symmetric response antisymmetric response
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where the gradient operator is expressible as a column matrix
Diffusion in Generalized Media
∂C∂t
=∇ ⋅ Dij[ ]S ⋅∇ C+∇ ⋅ Dij[ ]A ⋅∇C
∇ ⋅ Dij[ ]S =
∂∂x1
∂∂x2
∂∂x3
⎛
⎝
⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜
⎞
⎠
⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟
⋅ S⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥
∇ ⋅ Dij[ ]A =
∂∂x1
∂∂x2
∂∂x3
⎛
⎝
⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜
⎞
⎠
⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟
⋅ A⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥
In general:
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Diffusion in Generalized Media
Antisymmetric response
∂C∂t
⎛ ⎝
⎞ ⎠
A
= ∂2 C∂x1
2⎛ ⎝ ⎜ ⎞
⎠ ⎟ 0( )+ ∂2C∂x1∂x2
⎛ ⎝ ⎜ ⎞
⎠ ⎟ 12 D12 −D21( )[ ]+ ∂2 C
∂x1∂x3
⎛ ⎝ ⎜ ⎞
⎠ ⎟ 12 D13−D31( )[ ]
+ ∂2C∂x2∂x1
⎛ ⎝ ⎜ ⎞
⎠ ⎟ 12 D21−D12( )[ ]+ ∂2 C
∂x22
⎛ ⎝ ⎜ ⎞
⎠ ⎟ 0( )+ ∂2 C∂x2∂x3
⎛ ⎝ ⎜ ⎞
⎠ ⎟ 12 D23−D32( )[ ]
+ ∂2 C∂x3∂x1
⎛ ⎝ ⎜
⎞ ⎠ ⎟ 1
2 D31−D13( )[ ]+ ∂2 C∂x3∂x2
⎛ ⎝ ⎜
⎞ ⎠ ⎟ 1
2 D32 −D23( )[ ]+ ∂2 C∂x3
2⎛ ⎝ ⎜
⎞ ⎠ ⎟ 0( )
∂2C∂xi∂xj
⎛ ⎝ ⎜
⎞ ⎠ ⎟ =
∂2C∂xj∂xi
⎛ ⎝ ⎜
⎞ ⎠ ⎟
Order of differentiation is inconsequential!
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Cauchy relations
∂C∂t
⎛ ⎝
⎞ ⎠
A
=0
Dij[ ]=D11 D12 D13
D12 D22 D23
D13 D23 D33
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
The diffusivity is a symmetric tensor containing at most 6 elements:
So the antisymmetric part contributes nothing!
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Neumann’s Symmetry Principle
Dij'[ ]= ∂xi
'
∂xk
⎛ ⎝ ⎜ ⎞
⎠ ⎟ ⋅∂xj
'
∂xl
⎛ ⎝ ⎜
⎞ ⎠ ⎟ Dkl[ ] Tensor transformation
rule (i, j, k, l=1, 2, 3)
Dij'[ ]=αikα jl Dkl[ ]= α[ ] Dkl[ ] α[ ]T
Dij'[ ]= Dij[ ]
Neumann’s principle states that after any symmetry operationon the coordinate system
Direction cosines
transpose
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3-D Matrix Rotation: Implemented by Mathematica®
• For an arbitrary rotation, , in 3-D about axis x1
Dij
• Other arbitrary rotations about axes x2 and x3 must then be applied.
T
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Symmetry Operations for Diffusivity Tensors
Four-fold rotation by /2 about x1-axis
α[ ]=1 0 00 0 10 −1 0
⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥ x
3
x
(a)
2
x
1x1'
x2'
x3'
/2
x2
x3
x1
(b)x1
'
x2'
x3'
π/2
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Symmetry Operations for Diffusivity Tensors
Two-fold rotation by about x1-axis
α[ ]=1 0 00 −1 00 0 −1
⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥
x
3
x
(a)
2
x
1x1'
x2'
x3'
1
(c)
x2
x3
x
x3'
x1'
x2'
π
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Symmetry Operations for Diffusivity Tensors
Three-fold rotation by 2/3 about x1-axis
α[ ]=1 0 00 −1
23
2
0 − 32 −1
2
⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥
Important in hexagonal and rhombohedral systems.
x
3
x
(a)
2
x
1x1'
x2'
x3'
2/3
(d)
x3
x2
x1
x3'
x1'
x2'
2π/3
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Symmetry Operations for Diffusivity Tensors
No rotationOrthogonal coordinates
Identity matrix:
α[ ]=1 0 00 1 00 0 1
⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥
x
3
x
(a)
2
x
1x1'
x2'
x3'
x
3
x
(a)
2
x
1x1'
x2'
x3'
x1
x2
x3
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Isotropic Materials
D is a scalar.
—“Isotropy” is the lack of directionality—
Flux vector, J, remains antiparallel to the applied concentration gradient, C, and is invariant with respect to the gradient’s orientation within the material.
Dij[ ]=D 0 00 D 00 0 D
⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥ =D .
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Cubic Crystals
x 1< 1 0 0 >
< 0 1 0 >
< 0 0 1 >x 3
x 2
Typical structure of many engineering materials. Includes FCC and BCC metals and alloys, and many cubic ceramic and mineralogical
systems.
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Neumann’s principle applied to cubic symmetry
Diffusivity tensor for cubic symmetry, where D11 = D22
Dij'[ ]=
D11 D13 −D12
D31 D33 D32
−D21 −D23 D22
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
Dij'[ ]=
D11 0 00 D22 00 0 D22
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
D22 =D33
D12 =D13
D13 =−D21 =0D32 =−D23 =0.
Element-by-elementcomparison shows
/2
x2
x3
x1
(b)x1
'
x2'
x3'
π/2
=D (scalar)
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Diffusivity tensor for orthotropic materials (Tetragonal, Hexagonal, Rhombohedral)
Dij =0 i ≠j( )
Dij[ ]=D11 0 00 D11 00 0 D33
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
These crystals require two independent diffusivity elements.
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Diffusivity Tensor: orthorhombic, monoclinic, triclinic crystals
Triclinic Symmetry arguments fail to reduce the number of independent elements in the diffusivity tensor of triclinic crystals. 6 elementsare needed to describe diffusion responses in such low symmetry materials.This symmetry, although rare in engineering systems, exists in nature.
Orthorhombic Dij[ ]=D11 0 00 D22 00 0 D33
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
Monoclinic Dij[ ]=D11 0 D13
0 D22 0D13 0 D33
⎡
⎣
⎢ ⎢ ⎢
⎤
⎦
⎥ ⎥ ⎥
© meg/aol ‘02
Exercise
J 1 =−D11∂C∂x1
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D12∂C∂x2
⎛ ⎝ ⎜ ⎞
⎠ ⎟
J 2 =−D12∂C∂x1
⎛ ⎝ ⎜ ⎞
⎠ ⎟ −D22∂C∂x2
⎛ ⎝ ⎜ ⎞
⎠ ⎟ .
1. The general diffusion response for a two dimensional lattice is
Determine the forms of the diffusivity tensor for the following lattices
(a) Square lattice
(b) Rectangular lattice
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Matrix Transformations in 2-D
α[ ]≡ α11 α12
α21 α22
⎡ ⎣ ⎢
⎤ ⎦ ⎥ =
cosθ cos90−θ( )cos90+θ( ) cosθ
⎡ ⎣ ⎢
⎤ ⎦ ⎥ x1
x2
x 1
x 2
α[ ]T ≡ α11 α21
α12 α22
⎡ ⎣ ⎢
⎤ ⎦ ⎥ =
cosθ cos90+θ( )cos90−θ( ) cosθ
⎡ ⎣ ⎢
⎤ ⎦ ⎥
α[ ]⋅Dij ⋅ α[ ]T =α11 α11D11+α12D21( )+α12 α11D12 +α12D22( ) α21 α11D11+α12D21( )+α22 α11D12 +α12D22( )α11 α21D11+α22D21( )+α12 α21D12 +α22D22( ) α21 α21D11+α22D21( )+α22 α21D12 +α22D22( )
⎡ ⎣ ⎢
⎤ ⎦ ⎥
Matrix transformation rule:
direction cosines
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Exercise
Dij[ ]= D11 D12
D21 D22
⎡ ⎣ ⎢
⎤ ⎦ ⎥
α[ ]= 0 1−1 0
⎡ ⎣ ⎢
⎤ ⎦ ⎥
Dij'[ ]= D22 −D21
−D12 D11
⎡ ⎣ ⎢
⎤ ⎦ ⎥
x2
x1
(a) In 2-dimensions:
The transformation matrix for an axis rotation of +π/2 is
The diffusivity tensor in therotated coordinate system
Dij[ ]= D11 00 D11
⎡ ⎣ ⎢
⎤ ⎦ ⎥ =D11
Square lattice
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Exercise
αij[ ]= 1 00 −1
⎡ ⎣ ⎢
⎤ ⎦ ⎥
Dij[ ]= D11 00 D22
⎡ ⎣ ⎢
⎤ ⎦ ⎥
x2
x1
Rectangular latticeDij[ ]= D11 D12
D21 D22
⎡ ⎣ ⎢
⎤ ⎦ ⎥
(b) In 2-dimensions:
The transformation matrix for a mirror reflection is
The diffusivity tensor in thetransformed coordinate system
Dij'[ ]= D11 −D12
−D21 D22
⎡ ⎣ ⎢
⎤ ⎦ ⎥
2 independent elements remain
© meg/aol ‘02
Exercise
α[ ]=cosθ sinθ 0−sinθ cosθ 0
0 0 1
⎡
⎣ ⎢ ⎢ ⎢
⎤
⎦ ⎥ ⎥ ⎥
2. Use the general transformation properties of the diffusivity tensor and show that in the cases of hexagonal, tetragonal, and rhombohedral crystals the mass flux and diffusivity are independent (orthotropic) of the orientation of the concentration gradient, providing that the gradient lies in the x1–x2 plane.
The transformation matrix for an arbitrary rotation, , about the x3–axis is given by
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Exercise
x1
x2
x3
x2'
∇C
x1'
Chemical gradient, C, lying in the x1- x2 plane, applied at angle to the x1
axis. The x1, x2
, x3 , axes
are rotated to make x1
parallel to C.
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Exercise
D11' =α11α11D11+α12α12D22,
D11' =cos2θD11+sin2θD22.
The element D11 in the rotated coordinate system is
Orthotropic materials by definition have D11= D22 ,
′ D 11= cos2θ+sin2θ( )D11
′ D 11=const.
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Exercise: Implemented by Mathematica®
3) A 2-D trapezoidal lattice with vectors a and b has the matrix diffusivity, [Dij], given by
Dij = 1 0.50.5 2.5
⎡ ⎣ ⎢
⎤ ⎦ ⎥ ×10−9 cm2/s
• Find the flux response, J. Given the trapezoidal lattice with lattice vectors a and b and a diffusivity tensor,{Dij}.
881* 10^-9 Cm̂ 2êS, 0.5 * 10 -̂ 9 Cm̂ 2 êS <,80.5 * 10^-9 Cm̂ 2êS , 2.5 * 10 -̂ 9 Cm̂ 2 êS <<êêN
: : 1.¥10-9 Cm2
S,
5.¥10-10 Cm2
S>, :
5.¥10-10 Cm2
S,
2.5¥10-9 Cm2
S>>
MatrixForm @%D
i
k
1.¥10-9 Cm2
S5.¥10-10 Cm2
S
5.¥10-10 Cm2
S2.5¥10-9 Cm2
S
y
{
© meg/aol ‘02
Exercise: Implemented by Mathematica®
A chemical gradient is applied in the form of the vector
gradC =882* 10^5 GramêCm̂ 4<, 80<<
The flux response is the vector J,
J =Dij . gradC
Dij.gradC
i
k
1.`*^-9 Cm2
S5.`*^-10 Cm2
S5.`*^-10 Cm2
S2.5`*^-9 Cm2
S
y
{
.882 * 10 ^ 5 Gram ê Cm ^ 4<, 80<<
::0.0002Gram
Cm2 S>, :
0.0001GramCm2 S
>>
MatrixForm @%D
i
k
0.0002GramCm2 S
0.0001GramCm2 S
y
{
© meg/aol ‘02
ExerciseThe angle of the flux is
j =ArcTan @H1* 10^-4L êH2* 10^- 4LD
ArcTanB12F
ArcTan A12E êê N
0.463648
0.4636476090008061` *180 êPi
26.5651
26.56505117707799`
26.56505117707799` Degrees
The flux magnitude is
MagJ = $ ik0.0002` Gram
Cm 2 Sy{^2 + i
k0.0001` Gram
Cm2 Sy{^2
0.000223607$Gram2
Cm4 S2
ScientificForm @%D
2.3607¥10-4
"2.3607 " ¥10"-4" G êHCm ^2 *SL* 10
J
C~26.5°
© meg/aol ‘02
Key Points• The diffusion coefficient, D, is in general a tensor quantity expressible in
matrix form, [Dij].• Physical and mathematical arguments shown that in 3-D, the diffusion
matrix has at most 6 independent elements. In 2-D, at most 4 independent elements occur.
• Neumann’s principle may be applied to reduce the maximum number of diffusivity elements on the basis of crystallographic symmetry operations.
• Many engineering materials fortuitously often exhibit isotropic diffusion behavior.
• Crystal structure and texture have profound influences on the diffusion response of a material.