A Computational Framework for Simulating Flow around Hypersonic
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Transcript A Computational Framework for Simulating Flow around Hypersonic
A Computational Framework for Simulating
Flow around Hypersonic Re-Entry Vehicles
David Stroh, Anthony Marshik and Gautham
Krishnamoorthy, UND Chemical Engineering
Current challenges in computational aerothermodynamics (CA)
• Efficient generation of unstructured grids to resolve complex geometry
• Higher order discretization schemes for shock capture
• Laminar to turbulence transition models
• Reactions due to dissociation of air
• Thermodynamic non-equilibrium
• Spectral radiation
• Solid deformation due to ablation
Long term goal: Development of add-on modules/functions and best practice guidelines
that extends the capabilities of commercial codes to study (CA) problems
Short term goal:
• Infrastructure: Software licenses (ANSYS FLUENT, ANSYS AUTODYN)
• Sandia’s DAKOTA tool kit for uncertainty quantification
• Training of students
• Software validation of unit problems
Relevance to NASA
•
•
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Directly relevant to the mission of NASA’s Division of Atmospheric and Planetary Sciences.
A hierarchial validation approach ranging from unit problems to more complex problems
Validations accomplished through comparisons against experimental data and predictions
from NASA’s in-house CA codes:
LAURA: Hypersonic flows
ANSYS FLUENT has additional transitional turbulence modeling options
SAS and embedded LES options can resolve global instabilities and turbulent
structures
Additional “vibrational temperature” transport equation will be solved
NEQAIR: 1D line-by-line Radiative transport model (> 200,000 spectral intervals)
2D/3D calculations in ANSYS FLUENT account for shock curvature
Tighter coupling with fluid flow
Speed up spectral calculations by reducing it to a few 100 intervals
CMA, FIAT: Material response
Tighter coupling with fluid dynamics
Stronger deformations can be handled through the explicit solver in ANSYS
AUTODYN
Accomplishments
• Training of UGRAs
• Tasks:
Task 1: Laminar flow over
blunt cone
Task 2: Transitional flow over
flat plate
Task 3: Surface heat transfer
and real gas over a sharp cone
Backward and forward facing
steps
Flow over Mach 20 spherical
blunt cone
Task 4: Chemistry
Task 5: Plasma torch problem
for Radiative heat transfer (in
progress)
Task 3
Task 2
•Newer transitional models are very promising!
•Investigating sensitivities to turbulence
boundary conditions
Spherically blunt cone
Student involvement
• Use of commercial tools speeds up the learning
process.
• Two UG research assistants (David Stroh and Anthony
Marshik) were employed full-time over Summer 2011
– They were trained on the numerical aspects of
computational fluid dynamics
– They developed a theoretical understanding of boundary
layer flows
– They developed and demonstrated extensive familiarity
with the commercial code ANSYS FLUENT
• Manuscript in preparation for submission to AIAA
Journal of Spacecraft and Rockets
Future plans for proposals
• NASA NRA – Research Opportunities in
Aeronautics
• Air Force BAA (Aerospace, Chemical and
Material Sciences) - 2012
• NSF Fluid Dynamics Program (Feb 2013)