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Development of Magnetic Nozzle Simulations for Space
Propulsion Applications
Colin Glesner
Virginia Tech
October 26, 2016
1 of 41
Outline
Introduction
Background
Motivation
Numerical Method
Model Development
Equation System Development
Boundary Condition Development
Preliminary Results
Simulations Performed
Scaling Study
Radial Domain Size Effects
Conclusion
Work Completed
Future Work
2 of 41
What Is A Magnetic Nozzle?
Figure: Schematic of the VASIMR concept
3 of 41
Why This Research?
• Why electric propulsion? High Isp
• Why a magnetic nozzle? High thrust
• Why is more work needed? Plasma detachment
• Why is simulation the right tool? Difficult to test on earth
4 of 41
Side Note: Why Not Improve Chemical Propulsion?
5 of 41
Side Note: Why Not Improve Chemical Propulsion?
5 of 41
The Discontinuous Galerkin Numerical Method
Basic definition:
• Linear combination of basis
functions
• Solution discontinuous at edges
Advantages:
• Efficient parallelization
• High order accuracy
Disadvantages:
• Difficulty maintaining positivity Figure: Example of solution
represented with DG
6 of 41
Outline
Introduction
Background
Motivation
Numerical Method
Model Development
Equation System Development
Boundary Condition Development
Preliminary Results
Simulations Performed
Scaling Study
Radial Domain Size Effects
Conclusion
Work Completed
Future Work
7 of 41
Ideal Magnetohydrodynamics (MHD)
Three key assumptions:
• A single temperature and
pressure well defined
• Electrons mass negligible
• Ion gyrations are small and fast:
λ Ri , τ Ωci
Three key properties:
• Anisotropic wave propagation
• ‘Frozen in condition’:
B · dS = const.
• Generalized Ohm’s law:
E − v × B = 0
k ⊥ B
k ∥ B
Alfvén
Sonic
Slow Magnetosonic
Fast Magnetosonic
Figure: Waves in MHD
8 of 41
Ideal MHD Equation System
• Mass: ∂ρ
∂t + · [ρv] = 0
• momentum: ∂(ρv)
∂t + · ρvv + PI − BB
µ0
+ B2
2µ0
I = 0
• energy: ∂E
∂t + · E + P + B2
2µ0
v − (B·v)
µ0
B = 0
• Flux: ∂B
∂t + · [vB − Bv] = 0
9 of 41
The Role Of Resistivity
Derives from electron-ion collisions within the plasma. Introduces a
first approximation of kinetic effects.
• E + v × B = ηj
• ‘frozen in condition’ violated: B · dS = const.
• η ∝ T
−3/2
e
• Total energy conserved
• ‘Ohmic heating’: magnetic energy converted into thermal energy
• Current calculated from magnetic field: j = µ−1
0 × B
10 of 41
Resistive MHD Equation System
• mass: ∂ρ
∂t + · [ρv] = 0
• momentum: ∂(ρv)
∂t + · ρvv + PI − BB
µ0
+ B2
2µ0
I = 0
• energy: ∂E
∂t + · E + P + B2
2µ0
v − B·v
µ0
B + η
µ0
(j × B) = 0
• flux: ∂B
∂t + · [vB − Bv] + × (ηj) = 0
11 of 41
Controlling Divergence Error
The condition · B = 0 can be violated in numerical simulations.
• Result of discretization error
• Produces non-physical behavior
• Number of approaches for addressing this
Technique chosen for error correction:
• Non-physical variable ψ introduced
• Equation governing it ∂ψ
∂t + c2
h · B = −
c2
h
c2
p
ψ is introduced
• Coupled to magnetic field equations with ψ
• Advects and diffuses away · B error
• ψ vanishes as ∆x, ∆t → 0
12 of 41
resistive MHD with divergence correction
• mass: ∂ρ
∂t + · [ρv] = 0
• momentum: ∂(ρv)
∂t + · ρvv + PI − BB
µ0
+ B2
2µ0
I = 0
• energy: ∂E
∂t + · E + P + B2
2µ0
v − B·v
µ0
B + η
µ0
(j × B) = 0
• flux: ∂B
∂t + · [vB − Bv] + ψ + × (ηj) = 0
• error: ∂ψ
∂t + c2
h · B = −
c2
h
c2
p
ψ
13 of 41
Splitting the Magnetic Field
• This application involves an externally applied, constant magnetic
field
• Natural representation is to split magnetic field into two
components, B0 and B1
• B0 is calculated once at the beginning of the simulation
• B1 is evolved in time, with the applied B0 component being called
at each time.
• not a linearization of B
14 of 41
Types Of Boundary Condition Used
‘Ghost cell’ BC:
• Boundary cells interact with non-physical ‘ghost’
• Value of the solution chosen to create desired boundary condition
• High order accuracy requires extrapolation
‘Flux’ BC:
• No ‘ghost’ cell is used
• The flux across the boundary is chosen to create desired boundary
condition
• High order without extrapolation
15 of 41
Inflow Boundary Condition
• P-total Balance:
P (r) = Pmin +
B2(r) − B2
max
2µ0
(1)
• edge-smoothing:
Γ (r) =
1
2
erfc
r − rin
(2rin)
, e.g. v = Γ vin (2)
• Plasma injected parallel to B-field
v = |v(r)| ·
B
|B|
(3)
• ‘ramp-up’: linear increase over fixed time interval from v = 0 to
v = vin, and ρ = 0 to ρ = ρin.
16 of 41
Far-Field Boundary Condition
Boundary condition needed that will not generate or reflect waves.
Key properties of boundary condition:
• Copy all conserved variables into ghost cell
• Recalculate energy:
•
Eg = Eb +
B2
0 |g
2µ0
−
B2
0 |b
2µ0
(4)
• lower order of accuracy, not a concern since far away from plume.
17 of 41
Choosing Boundary Condition for ψ
• Authors of method found choice of boundary condition to be
arbitrary
• For this application this was found to not be the case
• Different choices of boundary conditions were investigated
• optimal boundary condition found to be ψ = 0
18 of 41
· B at Z-min: no correction vs. ψ = 0
19 of 41
· B at Z-min: ψ = 0 vs. ψ = 0
20 of 41
Improvement in max( · B) with correct ψ BC
21 of 41
Outline
Introduction
Background
Motivation
Numerical Method
Model Development
Equation System Development
Boundary Condition Development
Preliminary Results
Simulations Performed
Scaling Study
Radial Domain Size Effects
Conclusion
Work Completed
Future Work
22 of 41
Simulations Performed
10−1
100
101
102
10−3
10−2
10−1
100
101
102
βth
βK
10−4
10−3
10−2
10−1
100
101
102
103
104
105
Rm
Figure: Key dimensionless
parameters of simulations.
Parameters:
• βth: ratio of plasma to mag. pressure.
• βk: ratio of dynamic to mag. pressure.
• Rm: ratio of advective to diffusive
transport of mag. flux.
Results:
• Needed a starting point (red)
• 81 simulations performed (black)
• 3 good results (blue)
• 1 good result with small mod (green)
23 of 41
Scaling Study
Parameters Scaled:
• Rm : 101 → 103
• βk: 10−3 → 10−1
Characteristics Compared:
• Magnetic field perturbation
• Radial expansion of plume
• Evolution of energy in beam
Definition of energy metrics:
• ke = (KE
M )/kein
• te = (TE
M )/tein
where:
• M = ρ dV
• KE = 1/2ρv2 dV
• TE = P/ρ(γ − 1) dV
• kein = 1/2v2
in
• tein = Pin/ρin(γ − 1)
24 of 41
Scaling with Rm: B-Field
(a) Magnetic field lines and density
for low Rm
(b) Magnetic field lines and density
for high Rm
25 of 41
Scaling With Rm: Radial Expansion
0.00 0.25 0.50 0.75 1.00 1.25
R/Rin
0.00
0.25
0.50
0.75
1.00
1.25
Z/Rin
Rm =1.2×101 Rm =1.2×103
Figure: Comparison of radial expansion for
different magnetic Reynolds numbers.
• Slightly more
expansion for
higher Rm
26 of 41
Scaling With Rm: Integrated Quantities
0
1
2
3
4
5
6
ke
Rm =1.2×101 Rm =1.2×103
0.0 0.2 0.4 0.6 0.8 1.0
z/rin
0.0
0.5
1.0
1.5
2.0
2.5
3.0
te
Figure: Specific thermal and kinetic energy over
the course of plume propagation. Scaling with
magnetic Reynolds number.
• Deceleration after
z ≈ 0.1rin
• less kinetic energy
gain for lower Rm
• evolution same
till z ≈ 0.1rin
27 of 41
Scaling with βk: B-Field
(a) Magnetic field lines and density
for low βk
(b) Magnetic field lines and density
for high βk
28 of 41
Scaling With βk: Radial Expansion
0.00 0.25 0.50 0.75 1.00 1.25
R/Rin
0.00
0.25
0.50
0.75
1.00
1.25
Z/Rin
k =5.1×10-3
Rm =3.8×102
k =5.1×10-1
Rm =3.8×101
Figure: Comparison of radial expansion for
different values of kinetic plasma beta.
• contraction for
lower βk
• expansion for
higher βk
29 of 41
Scaling With βk: Integrated Quantities
0
5
10
15
20
25
30
35
40
45
ke
k =5.1×10-3
Rm =3.8×102
k =5.1×10-1
Rm =3.8×101
0.0 0.2 0.4 0.6 0.8 1.0
z/rin
0.0
0.5
1.0
1.5
2.0
2.5
3.0
te
Figure: Specific thermal and kinetic energy over
the course of plume propagation. Scaling with
kinetic plasma beta.
• Large difference
due to
normalization
• Deceleration after
z ≈ 0.1rin
• Apparent
difference in ramp
up, may be due
to background
30 of 41
Scaling with Rmax: B-field
(a) Magnetic field lines and density
for larger Rmax .
(b) Magnetic field lines and density
for smaller Rmax .
31 of 41
Scaling With Rmax: Radial Expansion
0.00 0.25 0.50 0.75 1.00 1.25
R/Rin
0.00
0.25
0.50
0.75
1.00
1.25
Z/Rin
rmax =3rin rmax =3
2 rin
Figure: Comparison of radial expansion for
different radial domain sizes.
• No contraction
develops
• Large increase in
expansion
32 of 41
Pressure: Early
(a) Plasma pressure (b) Total pressure
33 of 41
Pressure: Late
(a) Plasma pressure (b) Total pressure
34 of 41
Scaling With Rmax: Integrated Quantities
0
2
4
6
8
10
12
ke
Rmax =3
2 rin Rmax =3rin
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
z/rin
0.0
0.5
1.0
1.5
2.0
2.5
3.0
te
Figure: Specific thermal and kinetic energy over
the course of plume propagation. Scaling with
radial domain size.
• No deceleration
for smaller Rmax
• larger increase in
ke
• larger drop in te
35 of 41
Outline
Introduction
Background
Motivation
Numerical Method
Model Development
Equation System Development
Boundary Condition Development
Preliminary Results
Simulations Performed
Scaling Study
Radial Domain Size Effects
Conclusion
Work Completed
Future Work
36 of 41
Work Completed
Model Development
• Implemented resistive-MHD in WARPX
• Implemented divergence error correction scheme
• Implemented split B-field
• Determined appropriate ψ boundary condition for this work
• Developed inflow boundary condition
• Developed far-field boundary condition
37 of 41
Work Completed
Preliminary Investigation
• Proof of concept
• performed 81 simulations over range of parameters
• Analyzed scaling of nozzle performance with βk
• Analyzed scaling with Rm
• Analyzed and explained effect of Rmax
38 of 41
Future Work
Repeat the analysis and simulations discussed here with corrected
Rmax , submit findings to AIAA journal. Proposed goals:
• Improve simulation robustness
• Improve confidence of analysis
Proposed topics:
• Positivity preserving scheme
• Two-fluid physics
• Incorporate knowledge from experiment and theory to develop
more sophisticated inflow.
• Quantify effect of background blasma on beam propagation.
39 of 41
Thank you!
40 of 41

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mydefense

  • 1. Development of Magnetic Nozzle Simulations for Space Propulsion Applications Colin Glesner Virginia Tech October 26, 2016 1 of 41
  • 2. Outline Introduction Background Motivation Numerical Method Model Development Equation System Development Boundary Condition Development Preliminary Results Simulations Performed Scaling Study Radial Domain Size Effects Conclusion Work Completed Future Work 2 of 41
  • 3. What Is A Magnetic Nozzle? Figure: Schematic of the VASIMR concept 3 of 41
  • 4. Why This Research? • Why electric propulsion? High Isp • Why a magnetic nozzle? High thrust • Why is more work needed? Plasma detachment • Why is simulation the right tool? Difficult to test on earth 4 of 41
  • 5. Side Note: Why Not Improve Chemical Propulsion? 5 of 41
  • 6. Side Note: Why Not Improve Chemical Propulsion? 5 of 41
  • 7. The Discontinuous Galerkin Numerical Method Basic definition: • Linear combination of basis functions • Solution discontinuous at edges Advantages: • Efficient parallelization • High order accuracy Disadvantages: • Difficulty maintaining positivity Figure: Example of solution represented with DG 6 of 41
  • 8. Outline Introduction Background Motivation Numerical Method Model Development Equation System Development Boundary Condition Development Preliminary Results Simulations Performed Scaling Study Radial Domain Size Effects Conclusion Work Completed Future Work 7 of 41
  • 9. Ideal Magnetohydrodynamics (MHD) Three key assumptions: • A single temperature and pressure well defined • Electrons mass negligible • Ion gyrations are small and fast: λ Ri , τ Ωci Three key properties: • Anisotropic wave propagation • ‘Frozen in condition’: B · dS = const. • Generalized Ohm’s law: E − v × B = 0 k ⊥ B k ∥ B Alfvén Sonic Slow Magnetosonic Fast Magnetosonic Figure: Waves in MHD 8 of 41
  • 10. Ideal MHD Equation System • Mass: ∂ρ ∂t + · [ρv] = 0 • momentum: ∂(ρv) ∂t + · ρvv + PI − BB µ0 + B2 2µ0 I = 0 • energy: ∂E ∂t + · E + P + B2 2µ0 v − (B·v) µ0 B = 0 • Flux: ∂B ∂t + · [vB − Bv] = 0 9 of 41
  • 11. The Role Of Resistivity Derives from electron-ion collisions within the plasma. Introduces a first approximation of kinetic effects. • E + v × B = ηj • ‘frozen in condition’ violated: B · dS = const. • η ∝ T −3/2 e • Total energy conserved • ‘Ohmic heating’: magnetic energy converted into thermal energy • Current calculated from magnetic field: j = µ−1 0 × B 10 of 41
  • 12. Resistive MHD Equation System • mass: ∂ρ ∂t + · [ρv] = 0 • momentum: ∂(ρv) ∂t + · ρvv + PI − BB µ0 + B2 2µ0 I = 0 • energy: ∂E ∂t + · E + P + B2 2µ0 v − B·v µ0 B + η µ0 (j × B) = 0 • flux: ∂B ∂t + · [vB − Bv] + × (ηj) = 0 11 of 41
  • 13. Controlling Divergence Error The condition · B = 0 can be violated in numerical simulations. • Result of discretization error • Produces non-physical behavior • Number of approaches for addressing this Technique chosen for error correction: • Non-physical variable ψ introduced • Equation governing it ∂ψ ∂t + c2 h · B = − c2 h c2 p ψ is introduced • Coupled to magnetic field equations with ψ • Advects and diffuses away · B error • ψ vanishes as ∆x, ∆t → 0 12 of 41
  • 14. resistive MHD with divergence correction • mass: ∂ρ ∂t + · [ρv] = 0 • momentum: ∂(ρv) ∂t + · ρvv + PI − BB µ0 + B2 2µ0 I = 0 • energy: ∂E ∂t + · E + P + B2 2µ0 v − B·v µ0 B + η µ0 (j × B) = 0 • flux: ∂B ∂t + · [vB − Bv] + ψ + × (ηj) = 0 • error: ∂ψ ∂t + c2 h · B = − c2 h c2 p ψ 13 of 41
  • 15. Splitting the Magnetic Field • This application involves an externally applied, constant magnetic field • Natural representation is to split magnetic field into two components, B0 and B1 • B0 is calculated once at the beginning of the simulation • B1 is evolved in time, with the applied B0 component being called at each time. • not a linearization of B 14 of 41
  • 16. Types Of Boundary Condition Used ‘Ghost cell’ BC: • Boundary cells interact with non-physical ‘ghost’ • Value of the solution chosen to create desired boundary condition • High order accuracy requires extrapolation ‘Flux’ BC: • No ‘ghost’ cell is used • The flux across the boundary is chosen to create desired boundary condition • High order without extrapolation 15 of 41
  • 17. Inflow Boundary Condition • P-total Balance: P (r) = Pmin + B2(r) − B2 max 2µ0 (1) • edge-smoothing: Γ (r) = 1 2 erfc r − rin (2rin) , e.g. v = Γ vin (2) • Plasma injected parallel to B-field v = |v(r)| · B |B| (3) • ‘ramp-up’: linear increase over fixed time interval from v = 0 to v = vin, and ρ = 0 to ρ = ρin. 16 of 41
  • 18. Far-Field Boundary Condition Boundary condition needed that will not generate or reflect waves. Key properties of boundary condition: • Copy all conserved variables into ghost cell • Recalculate energy: • Eg = Eb + B2 0 |g 2µ0 − B2 0 |b 2µ0 (4) • lower order of accuracy, not a concern since far away from plume. 17 of 41
  • 19. Choosing Boundary Condition for ψ • Authors of method found choice of boundary condition to be arbitrary • For this application this was found to not be the case • Different choices of boundary conditions were investigated • optimal boundary condition found to be ψ = 0 18 of 41
  • 20. · B at Z-min: no correction vs. ψ = 0 19 of 41
  • 21. · B at Z-min: ψ = 0 vs. ψ = 0 20 of 41
  • 22. Improvement in max( · B) with correct ψ BC 21 of 41
  • 23. Outline Introduction Background Motivation Numerical Method Model Development Equation System Development Boundary Condition Development Preliminary Results Simulations Performed Scaling Study Radial Domain Size Effects Conclusion Work Completed Future Work 22 of 41
  • 24. Simulations Performed 10−1 100 101 102 10−3 10−2 10−1 100 101 102 βth βK 10−4 10−3 10−2 10−1 100 101 102 103 104 105 Rm Figure: Key dimensionless parameters of simulations. Parameters: • βth: ratio of plasma to mag. pressure. • βk: ratio of dynamic to mag. pressure. • Rm: ratio of advective to diffusive transport of mag. flux. Results: • Needed a starting point (red) • 81 simulations performed (black) • 3 good results (blue) • 1 good result with small mod (green) 23 of 41
  • 25. Scaling Study Parameters Scaled: • Rm : 101 → 103 • βk: 10−3 → 10−1 Characteristics Compared: • Magnetic field perturbation • Radial expansion of plume • Evolution of energy in beam Definition of energy metrics: • ke = (KE M )/kein • te = (TE M )/tein where: • M = ρ dV • KE = 1/2ρv2 dV • TE = P/ρ(γ − 1) dV • kein = 1/2v2 in • tein = Pin/ρin(γ − 1) 24 of 41
  • 26. Scaling with Rm: B-Field (a) Magnetic field lines and density for low Rm (b) Magnetic field lines and density for high Rm 25 of 41
  • 27. Scaling With Rm: Radial Expansion 0.00 0.25 0.50 0.75 1.00 1.25 R/Rin 0.00 0.25 0.50 0.75 1.00 1.25 Z/Rin Rm =1.2×101 Rm =1.2×103 Figure: Comparison of radial expansion for different magnetic Reynolds numbers. • Slightly more expansion for higher Rm 26 of 41
  • 28. Scaling With Rm: Integrated Quantities 0 1 2 3 4 5 6 ke Rm =1.2×101 Rm =1.2×103 0.0 0.2 0.4 0.6 0.8 1.0 z/rin 0.0 0.5 1.0 1.5 2.0 2.5 3.0 te Figure: Specific thermal and kinetic energy over the course of plume propagation. Scaling with magnetic Reynolds number. • Deceleration after z ≈ 0.1rin • less kinetic energy gain for lower Rm • evolution same till z ≈ 0.1rin 27 of 41
  • 29. Scaling with βk: B-Field (a) Magnetic field lines and density for low βk (b) Magnetic field lines and density for high βk 28 of 41
  • 30. Scaling With βk: Radial Expansion 0.00 0.25 0.50 0.75 1.00 1.25 R/Rin 0.00 0.25 0.50 0.75 1.00 1.25 Z/Rin k =5.1×10-3 Rm =3.8×102 k =5.1×10-1 Rm =3.8×101 Figure: Comparison of radial expansion for different values of kinetic plasma beta. • contraction for lower βk • expansion for higher βk 29 of 41
  • 31. Scaling With βk: Integrated Quantities 0 5 10 15 20 25 30 35 40 45 ke k =5.1×10-3 Rm =3.8×102 k =5.1×10-1 Rm =3.8×101 0.0 0.2 0.4 0.6 0.8 1.0 z/rin 0.0 0.5 1.0 1.5 2.0 2.5 3.0 te Figure: Specific thermal and kinetic energy over the course of plume propagation. Scaling with kinetic plasma beta. • Large difference due to normalization • Deceleration after z ≈ 0.1rin • Apparent difference in ramp up, may be due to background 30 of 41
  • 32. Scaling with Rmax: B-field (a) Magnetic field lines and density for larger Rmax . (b) Magnetic field lines and density for smaller Rmax . 31 of 41
  • 33. Scaling With Rmax: Radial Expansion 0.00 0.25 0.50 0.75 1.00 1.25 R/Rin 0.00 0.25 0.50 0.75 1.00 1.25 Z/Rin rmax =3rin rmax =3 2 rin Figure: Comparison of radial expansion for different radial domain sizes. • No contraction develops • Large increase in expansion 32 of 41
  • 34. Pressure: Early (a) Plasma pressure (b) Total pressure 33 of 41
  • 35. Pressure: Late (a) Plasma pressure (b) Total pressure 34 of 41
  • 36. Scaling With Rmax: Integrated Quantities 0 2 4 6 8 10 12 ke Rmax =3 2 rin Rmax =3rin 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 z/rin 0.0 0.5 1.0 1.5 2.0 2.5 3.0 te Figure: Specific thermal and kinetic energy over the course of plume propagation. Scaling with radial domain size. • No deceleration for smaller Rmax • larger increase in ke • larger drop in te 35 of 41
  • 37. Outline Introduction Background Motivation Numerical Method Model Development Equation System Development Boundary Condition Development Preliminary Results Simulations Performed Scaling Study Radial Domain Size Effects Conclusion Work Completed Future Work 36 of 41
  • 38. Work Completed Model Development • Implemented resistive-MHD in WARPX • Implemented divergence error correction scheme • Implemented split B-field • Determined appropriate ψ boundary condition for this work • Developed inflow boundary condition • Developed far-field boundary condition 37 of 41
  • 39. Work Completed Preliminary Investigation • Proof of concept • performed 81 simulations over range of parameters • Analyzed scaling of nozzle performance with βk • Analyzed scaling with Rm • Analyzed and explained effect of Rmax 38 of 41
  • 40. Future Work Repeat the analysis and simulations discussed here with corrected Rmax , submit findings to AIAA journal. Proposed goals: • Improve simulation robustness • Improve confidence of analysis Proposed topics: • Positivity preserving scheme • Two-fluid physics • Incorporate knowledge from experiment and theory to develop more sophisticated inflow. • Quantify effect of background blasma on beam propagation. 39 of 41