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Ion Implantation and Temperature HEROS Modeling

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(e.g. vacancy clusters, interstitial clusters etc.) 18 variables/equations 13 ... Bubble & Radius Movies: HEROS also gives the spatial distribution information ... – PowerPoint PPT presentation

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Title: Ion Implantation and Temperature HEROS Modeling


1
Ion Implantation and Temperature ? HEROS
Modeling
  • Qiyang Hu , Shahram Sharafat, Nasr Ghoniem
  • Mechanical Aerospace Engineering
  • University of California, Los Angeles
  • San Diego, Aug 8th, 2006

2
Objectives
  • Calibrate HEROS with a wide range of
    applications
  • Deep implantation in pulses by UNC
  • Shallow implantation in steady states by IEC
    condition
  • Shallow implantation in steady states by
    Nishijima04

Leads to confidence in predicting IFE conditions
3
  • HEROS Code Improvement
  • Simulation Discussion
  • Conclusions and Future Plans

4
Previous HEROS code has serious numerical
instability problems
  • In most cases
  • Time to be simulated lt 10 ?sec
  • Running Time gt 6 hours
  • Time step gt 2000 steps
  • Temperature range lt 2000 K

5
HEROS model is improved
  • Still, reaction-diffusion rate equation
  • Simplify the equation
  • Ignore some cluster effects
  • (e.g. vacancy clusters, interstitial clusters
    etc.)
  • 18 variables/equations ? 13
  • Ignore bubble coalescence

6
HEROS numerical scheme
Temperature profile
Within a bin, each C(i) isin an average sense
Implantation profile

W back
variable bin size
W front
7
Recent Progresses in Modeling Helium Behavior
  • Can integrate equations for thousands of pulses.
  • Can include rapid temperature transients.
  • Aim to calibrate model with experimental data.

8
  • HEROS Code Improvement
  • Simulation Discussions
  • Conclusions and Future Plans

9
First, we want to use our new HEROS code to model
UNC(05) UWM(04) conditions.
We re-simulated UNC UWMs implantation cases
Helium Implantation
Damage
10
UNCs Temperature Profile
(?C)
( L. Sneed,2005 )
11
After 1 cycle of 1019 He/m2
Temperature ?C
2000?C
850?C
3000
3060
Time (sec)
12
After 10 cycle of 1018 He/m2/cycle
Temperature ?C
2000?C
850?C
360
300
720
Time (sec)
13
After 100 cycle of 1017 He/m2/cycle
Temperature ?C
2000?C
850?C
90
30
180
Time (sec)
14
After 1000 cycle of 1016 He/m2/cycle
Temperature ?C
2000?C
850?C
63
3
126
Time (sec)
15
Helium Retention
Diffuse too fast in HEROS
Short pulse OK!
Cycles
1000
100
10
1
16
Bubble Radius Movies HEROS also gives the
spatial distribution information
Bin Number20 Total width10?m
17
For UWMs IEC conditions Some notes before
comparisons
  • Surface bubble ? Surface pore
  • Surface bubble density ? (volume bubble
    densitysurf)2/3
  • We focus on steady condition.

18
New HEROS code is stable and gives the
information about bubble (pore) sizes
19
So does the pore density
20
We also calibrate our model by Nishijima groups
experiments (ITER)
Temperature 1950 ?C
Gh
1?m
x
21
HEROS also gives the spatial distribution
information (average sense)
Bin Number20 Total width10?m
22
HEROS for temperature modeling
Surface Heating
Emissive effect can be ignored
B.C.
Max
23
  • HEROS Code Improvement
  • Simulation Discussion
  • Conclusions and Future Plans

24
Conclusions
  • Capabilities of HEROs code are largely improved
  • Our HEROS can integrate equations
  • with thousands of pulses.
  • with rapid temperature transients.
  • Need to improve
  • Helium More trapping mechanism
  • Heat new mechanism

25
Planning on HEROS
  • Implement recent pulsed conditions
  • UWM
  • UNC
  • Implement IFE conditions
  • Add bubble coalescence
  • Exceed the 0-order (average) description
  • Temperature/carbon diffusion problem

26
We wish to develop a unified temperature/diffusion
/microstructure code
  • Containing
  • Temperature transients
  • Helium distribution
  • Carbon distribution
  • Point defect/displacement damage

27
Thanks!
28
Backup Slides
29
Helium retention for IEC condition
Most of He are in grain boundary
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