Composite Materials
Metal Matrix Composites
Long fiber composites SiC–Ti (fiber diameter : 500 µm)
Polycrystalline Morphology
zinc coating shape memory alloy Cu–Zn–Al
Two–phase Materials
Titanium alloy Ti6242 nickel–base single crystal superalloy
Characterization of thin layers and coatings
coating of a galvanized steel sheet
EBSD analysis
RD = (1) TD = (2)
RD TD ND
1 2 3 4
5 6
7 8
9 10
11 12
14 13 15
16 17
18 19
20
21 22
23 24 25 26
27 28
29 30
31
32 33 34
ND = (3)
TD = (2) RD = (1)
Symmetrical
2D geometry but 3D deformation modes!
Multi–crystalline specimens
0 5 10 16 21 26 31 37 42 48 53 58 101
eveq (x1.0E-3)
(011) (001)
(-111) 1
4 2 3 0
5 10 16 21 26 31 37 42 48 53 58
x1.0E-3 etot 33
3 1 2 4 sample A
Metallic foams
Aluminum foam nickel foam
X-ray tomography
Quasi–transparent materials
−→ confocal microscopy
Influence of phase morphology and distribution on material behaviour
100 µm
Influence of phase morphology on Young’s modulus
0 200 400 600 800 1000 1200 1400 1600 1800
0.45 0.5 0.55 0.6 0.65 0.7 0.75 0.8
E (MPa)
f1 fine microstructure coarse microstructure E (H+) E (H−)
Models for random materials : Polycrystals
3D Vorono¨ı cells
3D Vorono¨ı cells
How to prescribe a mean deformation to a material volume element?
possible boundary conditions :
• Kinematic uniform boundary conditions
• Traction uniform boundary conditions
• Periodicity conditions
• mixed boundary conditions
Kinematic uniform boundary conditions
u = E∼.x, ∀x ∈ ∂V, ui = Ei jxj
< ε∼ > =1 V
Z
V
∼εdV = E∼ Proof (divergence theorem) :
< εi j > = 1 V
Z
V
u(i,j)dV = 1 V
Z
∂V
u(inj)dS
= E(ik1 V
Z
∂V
xknj)dS = E(ik1 V
Z
V
xk,j)dV
= E(ikδk j) = Ei j Mean work of internal forces :
σ∼? statically admissible stress field (divergence free) ε∼
0 compatible strain field fulfilling the kinematic uniform boundary conditions
< σ∼? : ∼ε0 >= Σ∼ : E∼ where the macroscopic stress tensor is defined by
Σ∼ =< σ∼? >
return
Divergence, Stokes, Gauss ... theorem
Z
V
u
,idV =
Z
∂V
u n
idV where u
,i=
∂∂xui
1D :
Z
ba
u
0(x) dx = [ u ]
bareturn
Traction uniform boundary conditions
T = σ∼.n = Σ∼.n, ∀x ∈ ∂V, Ti = Σi jnj
< σ∼ > =1 V
Z
V
σ∼ dV = Σ∼ Proof (divergence theorem) :
< σi j > = 1 V
Z
V
σi jdV = 1 V
Z
V
σikδk jdV = 1 V
Z
V
(σik xj),kdV
= 1 V
Z
∂V
σikxjnkdS = 1 V
Z
∂V
ΣikxjnkdS
= Σi j
Mean work of internal forces :
σ∼? statically admissible stress field (divergence free) and fulfilling the traction uniform boundary conditions
ε∼0 compatible strain field
< σ∼? : ∼ε0 >= Σ∼ : E∼ where the macroscopic strain tensor is defined by
E∼ =< ε∼0 >
return
Periodicity conditions
u = E∼.x+v where v is a periodic fluctuation
-
x y
z
+
v(x+) = v(x−), u(x+)−u(x−) = E∼.(x+−x−)
=⇒ u is not periodic!!!
σ∼(x−).n− = −σ∼(x+).n+, (n− = −n+)
< ε∼ >= E∼ Proof : < vi,j >= 1
V
Z
V
vi,j dV = 1 V
Z
∂V
vinj dS = 0 Mean work of internal forces :
< σ∼ : ε∼ >= Σ∼ : E∼ where the macroscopic stress tensor is defined by
Σ∼ =< σ∼ >
return
Example
compute the effective elastic properties of a periodic composite...
local properties
σ11
σ22
σ33
σ12
=
c11 c12 c13 0 c12 c22 c23 0 c13 c23 c33 0 0 0 0 c44
ε11
ε22
ε33
2ε12
effective properties
Σ11
Σ22
Σ33
Σ12
=
C11 C12 C13 0 C12 C22 C23 0 C13 C23 C33 0
0 0 0 C44
E11 E22 E33 2E12
Extension test
impose < ε∼ >, compute < σ∼ >...
E∼ =
1 0 0 0 0 0 0 0 0
Σ11 = C11 Σ22 = C12 Σ33 = C13 Σ12 = 0 homogeneous boundary conditions
x y
z
periodicity conditions
x y
z
Shear test
E∼ =
0 1/2 0 1/2 0 0
0 0 0
Σ11 = Σ22 = Σ33 = 0 Σ12 = C44
homogeneous boundary conditions
x y
z
periodicity conditions
x y
z
Application to two–phase Vorono¨ı mosaics
x y
z
two elastic phases : E=2500 MPa, ν = 0.3 E = 25 MPa, ν = 0.49
Apparent shear modulus
0 200 400 600 800 1000
10 100 1000 10000
µapp (MPa)
V
KUBC
Bounds of Voigt−Reuss
Apparent shear modulus
0 200 400 600 800 1000
10 100 1000 10000
µapp (MPa)
V
KUBC SUBC Bounds of Voigt−Reuss
Apparent shear modulus
0 200 400 600 800 1000
10 100 1000 10000
µapp (MPa)
V
KUBC SUBC PERIODIC Bounds of Voigt−Reuss
Parallel computing
turbine blade in 8 subdomains
FETI method
local equilibrium on each subdomain
compatibility and equilibrium at the interface : iterative
algorithm
cluster of PCs under Linux
Sub–domain decomposition
x
y
z
x y
z