Transcript Slide 1

By S. Saeidi
Contribution from: S. Smolentsev, S. Malang
University of Los Angeles
August, 2009
 Introduction
 Motivation/Goals
 Problem Definition
 Mathematical model
 Numerical Code
 Test Results
 Conclusion and Future Investigation
 Liquid metal, such as PbLi has so many advantages using as
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heat transfer fluid
Corrosion behavior of ferritic steel exposed to PbLi is not
well understood
Maintaining acceptable limits for material loss is an
important goal in blanket development
For ferritic steel/PbLi, corrosion is controlled by
convection, diffusion and dissolution at the solid-liquid
interface
Mass, heat and momentum transfer are coupled
The main purpose is to develop a numerical code to access
corrosion of ferritic steel in PbLi under either experimental
or real blanket conditions
 There are no commercial codes available for corrosion
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analysis under fusion blanket conditions
Experimental data are available on ferritic steel/PbLi
corrosion, but no good interpretation exists
We need a code, which would help us to perform some
initial corrosion analysis under blanket conditions
We want to help experimentalists to understand the
data, and to understand the corrosion phenomenon
itself
Use of code for benchmarking with more sophisticated
software, which is planned to be developed in future
(HIMAG)
 Corrosion is a result of dissolution of wall material, which is then
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transported by the flow
Transport mechanism are convection and diffusion
Flow is either laminar or turbulent. MHD effects should be
included
We consider only one component (Fe) diffusing into PbLi
We also consider deposition phenomenon, which occurs in the
cold part of the loop
Heat, mass and momentum transfer are coupled. The
mathematical model should include energy equation, flow
equations (including MHD effects), and mass transfer equation
The boundary condition at the solid-liquid interface assumes
saturation concentration at given wall temperature
m=0 – plane geometry
m=1 – pipe
 Flow
U
U
U
1 P 1   m
U  1
U V

 m  y   t    ( j B)
t
x
y
 x y y 
y  
t, kt, Dt=0 – laminar
t, kt, Dt>0 – turbulent
U
1 
 m
( y mV )  0
x y y
Turbulence closures are used
to calculate t, kt, Dt
 Heat Transfer:
MHD effects are included
through jxB, P/x, t, kt, Dt
 T
T
T  1   m
T 




 C p   U  V   m  y k  kt
  q' ' ' More equationsare used to
x
y  y y 
y 
introduce MHD effects
 t
 Mass Transfer:
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
C
C
C
1   m
C 
U
V

y
D

D

t y 
t
x
y y m y 
Mass diffusion coefficient plotted as
a function of the wall temperature
Saturation concentration Csat of iron
atoms in PbLi as function of
temperature
Borgstedt, H.U and Rohrig, H.D:1991,
Journal of Nuclear Materials 181-197
•Saturation concentration equation expressed in mole fraction
(percentage)
MODULE
DESCRIPTION
STATUS
MAIN
Switches between the modules
Included
INPUT
Reads input data
Included
VELO
Calculates velocity profile
Included
TEMP
Solves the energy equation
Included
CONC
Solves the admixture transport equation
Included
OUTPUT
Prepares and organizes data output
Included
• Velocity distribution can be calculated for both laminar and
turbulent flow regimes for simple geometries (pipe, rectangular
duct, parallel channel) with or without a magnetic field
•Finite-difference computer code
•Non-uniform meshes with clustering points near the walls
•Implicit method for solving equations (Tri-diagonal solver)
Plot of Nusselt number along x direction in
Plane channel with parabolic velocity
profile
Flow
Plane channel,
slug flow
Plane channel,
parabolic
velocity profile
Plane channel,
parabolic
velocity profile
Pipe, slug flow
Pipe, parabolic
velocity profile
Pipe, parabolic
velocity profile
BC
type
Nu (calc.)
Nu
(theory)
Const. T
(C)
Const. T
(C)
4.94
4.94
3.77
3.77
Const. Q
4.12
4.12
Const. T
(C)
Const. Q
5.78
5.78
3.66
3.66
Const. Q
4.36
4.36
The comparisons have been made for a laminar flow
Temperature profile
Concentration profile
Flow Length: 2m
Channel Width: 20cm
Twall= 500 C
Laminar flow= U=3 cm/s
Cwall=0.01 Kg/m3
Plot of Sherwood number along
the X direction:
Rate of mass transfer along the X
direction:
•Sh decreases along the x until the flow become fully
developed
 Initials steps towards a mathematical model and
numerical code for modeling of corrosion/deposition
processes have been performed
 We will keep working on the code and use it to
analyze the effect of the flow regime, MHD, flow
geometry, inlet conditions, etc. on
corrosion/deposition of ferritic steel in PbLi under
either experimental or real blanket conditions
 We will look for experimental data and run the code
trying to reproduce the experimental data
 In the future, the code will be used for benchmarking
with more sophisticated software (HIMAG)