Ch 01
Introduction to complex fluids
Solid --- Liquid
Ideal Solid --- Most Materials --- Ideal Fluid
Elastic --- Viscoelastic --- Viscous
Strain
0 time
Stress
0 time
Stress
0 time Stress
0 time
Solid Like --- Liquid Like
Ideal Solid --- Most Materials --- Ideal Fluid
Purely Elastic --- Viscoelastic --- Purely Viscous
γ
τ = G τ = η γ &
( )
T( ( )
T)
p
p
We u
pu
p pu u u
t
τ + ⎛ ⎜ ⎝ ∂ ∂ τ + ⋅∇ − ∇ τ ⋅ − ⋅∇ τ τ ⎞ ⎟ ⎠ = β ∇ + ∇
( )
2
, , , ,
Re (1 )
0
p p
p
f
u u u p u
t u
τ λ β η
β τ
τ
=
⎛ ∂ + ⋅∇ ⎞ = −∇ + ∇ ⋅ + − ∇
⎜ ∂ ⎟
⎝ ⎠
∇ ⋅ =
u
Time-dependent Viscoelastic Behavior
•
Old Testament Prophetess who said :
"The Mountains Flowed before the Lord"
•
Everything Flows if you wait long enough!
•
Deborah Number, De - The ratio of a characteristic time of a material (τ) to a characteristic time of the process (Τ)
De = τ/Τ
Rheology
• The science of flow and deformation of matter (complex fluids)
• Viscoelastic
• Deborah number
• Processing technology
De = τ/Τ
Mathematical rheology Mathematical theology
ABS
ABS (Acrylonitrile-Butadiene-Styrene)
Particle
size Gel
content Graft
ratio Impact
strength Hard-
ness Tensile
strength Flexural
strength VST gloss
ABS-4 3075 86 42 26.7 96.4 402 582 93.7 103.9
ABS-5 3100 82 69 24.1 95.3 393 567 95.1 101.7
G’ and η* of ABS
0.01 0.10 1.00 10.00 100.00 1000.00
FREQUENCY
100 1000 10000 100000
G',VISCOSITY
ABS-4 ABS-5
G’ vs. graft ratio
20 40 60 80 100 120
Graft ratio 10
100 1000 10000 100000
G' at w=0.1
Sheet grade 礱獺
(沁茿梞 汬籤艃 ABS)
• 沁茿梞 汬籤艃: 梞礩枾枾觩, 溶獺梳槆
• Sheet 迧瘡 礱獺 (gel)
• 1鈔 test腬 resin 脙 3贱 累舯
• Test 繽 盤莶腢苖汐 脭籓 梳槆繽 盤莶矇粀- Claim
• 綺蕗枾 胱褮槬 汬腬粿 衇甇濍腐 矇粀郡湊 盤莶琌 褦莯
• 盤莶艪茒礭糀
• 轕枾矓砿針碞
• 盤莶都桮矓砿 瞺 莞獦???
Competition with HIPS
• 沁茿梞 汬籤艃 ABS,HIPS 矃礭
• ABS湊 舓梾 艊綺, HIPS湊 枾桧 桻荛珕
• 躜枾: ABS 1500$/MT, HIPS 800$/MT
• 瀅檓: ABS 3.5t, HIPS 4-5t
• 枾桧桻荛 纍釜
• ABS 籏艃腡衇湊 HIPS琌 莞釠郡梞茪 郱
• Sheet 瀅檓 down
• 蕛梳糔醝糔 鄭籤
• 莫榹矓砿 瞺 莞獦???
Kingdom of rheology
14 th ICR, Aug.22-27, Seoul
• Computational rheology
• Flow instability
• Foams, emulsions & surfactants
• Foods & biomaterials
• Materials processing
• Microstructural modeling
• Nanorheology & microfluidics
• Non-Newtonian fluid mechanics
• Polymer melts
• Polymer solutions
• Rheometry & experimental methods
• Solids & composites
• Suspensions & colloids
Challenges
• Biorheology
– Hemorheology, microfluidics
• IT rheology
– ACF rheology, coating
• Nanorheology
– Clay, CNT
• Modeling and simulation
Biorheology
Cause of death(USA)
American Heart Association 2003 Cardiovascular
Disease 49.9%
Cancer 32.4%
Accidents 7.1%
Etc. 10.4%
Extra-corporeal life supporter
RBC deformation and hemolysis
Diabetes Association
• Most diabetics have hyperviscosity by one or other mechanism.
(Dintenfass L, 1989)
• The Complication of diabetics
( Diabetic Retinopathy, Nephropathy, Nervous Diease )
Heathy retinal capillaries Heathy retinal capillaries
Diabetic retinal capillaries Diabetic retinal capillaries
Diabetic Retinopathy
Diabetic Retinopathy
Introduction – RBC
In pure
shear flow
Result
EI = 0.024979 EI = 0.03977 EI = 0.2453 EI = 0.348132
aspect ratio = 1.05 major axis = 107.9
minor axis =102.7
aspect ratio = 1.12 major axis = 97.9 minor axis = 87.7
aspect ratio = 1.65 major axis = 120.8
minor axis = 73.2
aspect ratio = 2.0681073 major axis = 134.48761 minor axis = 65.029320
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45
0 200 400 600 800 1000 1200
Shear rate
Elongational Index
EI = 0.392697 EI = 0.414989
aspect ratio = 2.29 major axis = 140.1 minor axis = 61.1
aspect ratio = 2.42
major axis = 145.2
minor axis = 60.0
BLOOD VISCOSITY
plasma viscosity plasma
viscosity erythrocyte
deformability erythrocyte
deformability leukocytes hematocrit
erythrocyte aggregation erythrocyte aggregation
Early diagnosis of heart disease
Normal & Patients
ASI
20 30 40 50 60 70 80 90
Avg EI 0.3
0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40
Normal Patient
ASI
20 40 60 80 100 120
Avg EI 30
0.38 0.40 0.42 0.44 0.46 0.48 0.50 0.52 0.54
Normal Patient
Shear rate= 0.3 Shear rate= 30
stress (Pa)
0.1 1 10 100 1000
EI
0.0 0.2 0.4 0.6
0.8 pure shear flow - newly tested
centerline of 4:1 contraction
Glass size vs. Coating Method
IT rheology
Spin
Slit/Spin
Slit
D layer (B)
D layer (top) P layer
T electode B electrode Seal
Glass In
Washing
Coat Dry
Washing MgO Depo.
Coat
Expose Develop
Sputtering Dispense
Glass In
Upper
layer
RepairInsp Coat
Dry Dry
Cleaning PR Coating
Dry Fire
Expose Develop Etch/Strip
Fire Fire
Fire
P layer Glass In U layer D electrode D layer Rib
Fire Dry Coat
Cleaning Dry(R)
Expose Develop
Expose Coat(G)
Dry(G)
Develop Coat(R)
Coat(B)
Expose Develop
Fire Dry(B) Dry
Coat
Expose Develop
Repair Insp Fire
Coat Coat
Dry Glass In
Lower layer
Dry
DFR Lami.
Fire
Expose
Strip Develop Sandblast
Fire
• 3-dimensional
• Time dependent
• Squeezing flow
(pseudo steady state)
• Non-isothermal
(temp distribution with time and position)
• Curing reaction
• Particulate flow
• Complex flow field and geometry
particle and stress distributions
typical rheology problem
PP/clay
Electric field
Exfoliation
+
II
MRC 2003
Nanorheology
Why? What happens?
•PP/Clay E2
•PP/Clay
Optics measured at 180C. (x 100)
layer-stacking destruction
separation of silicate layers
(2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00
0 1 2 3 4
X -3
-2 -1 0 1
Y
(2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00 (2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00
0 1 2 3 4
X -3
-2 -1 0 1
Y
(2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00 (2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00
0 1 2 3 4
X -3
-2 -1 0 1
Y
(2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00 (2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00
0 1 2 3 4
X -3
-2 -1 0 1
Y
(2D)⏐ 27Apr2003⏐G-NewtonFluidSimulationattime .00
Simulation & modeling
Flow past a confined cylinder
We
0.1 0.3 0.5 0.7 0.9 1.1
0.0 0.2 0.4 0.6 0.8 1.0 1.2
Dimensionless Drag
116 118 120 122 124 126 128 130 132 134
Liu et al. (1998) : DEVSS-G/SUPG Fan et al. (1999) : h-p FEM
Alves et al. (2001) : FVM
Caola et al. (2001) : RK4+DEVSS-G/DG
Owens and Chauviere (2002) : Sprectral Method UM2
UM4
chain
dumbbell
Modeling: BD, DPD, FPD, LB,…
( )
2
, , , ,
Re (1 )
0
p p
p
f
u u u p u
t u
τ λ β η
β τ
τ
=
⎛ ∂ + ⋅∇ ⎞ = −∇ + ∇ ⋅ + − ∇
⎜ ∂ ⎟
⎝ ⎠
∇ ⋅ = u
Critical to precise process control
- precision injection, coating, micro-channel flow …
• Separation of long DNA molecules in a
microfabricated entropic trap array, Science, 2000.