using finite element to model molecular transport in a vacuum · 2019. 12. 5. · and testing...
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1© 2019 The Aerospace Corporation
Using Finite Element to Model Molecular Transport in a Vacuum
Andrew B. RobbinsHagop Barsamian
De-Ling Liu
November 6-7, 2019NASA CCMPP Workshop
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IntroductionWhy we model molecular contamination
Proper modelling is necessary for reasonable predictions
• Molecular contaminants can originate from spacecraft materials
– Time and temperature dependent outgassing
• Highly sensitive components have extremely stringent contamination requirements
• Contamination analysis is performed to assist developing mitigation plans
Credit: NASA• Modelling of molecular transport can:– Quantifiably estimate the extent of contamination on surfaces of interest – Handle any input/boundary conditions and complex geometry – Consider continuous phase to vacuum conditions
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BackgroundModelling molecular flow
Finite element modelling simplifies and expands simulation capabilities
• Analytical calculations can handle simple systems
– Molecular point source (e.g. Knudsen cell)– View factor between 2 surfaces
• Challenges for real systems– Irregular shapes and geometries– Time dependence– Temperature dependence– Chemical/physical surface interaction with
contaminants– Space radiation
• Numerical modelling using Finite Element (FE)– With correct inputs, FE can be a useful tool to
address the above challenges Ethridge, E., & Kaukler, W. AIAA Aerospace Sciences Meeting (2012). NASA Technical Reports Server, Document ID 20120004021.
Examples of Finite Element (FE) Simulations
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OutlineCase studies
1) Model molecular spatial profiles from a venting honeycomb
2) Molecular flux focusing in a vacuum chamber (per ASTM E1559 standard)• Verify and evaluate the model with experimental
data
Credit: NASA
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Molecular Contamination Transport out of a Honeycomb
Finite element simulations help model complex structures
• Honeycomb/facesheets are a common structure for flight systems
– Vented for depressurization– Contamination sources available inside
How to quantify molecular emission profile for arbitrary geometry?
?
• View factor from flat source is well known (cosθ)
• What about structured surface with vent holes?
Credit: NASA
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Setting up the ModelUsing Finite Element to model honeycomb structure
Structure can be customized to specific flight hardware
• Governing Physics: Free Molecular Flow– Molecules travel ballistically (no interaction)– Assumes MFP >> L
• MFP: molecule mean free path• L: length scale of structure
• The honeycomb structure is built in COMSOL– Tessellated hexagonal prisms– Punctured with vent holes– Encapsulated on sides
• Due to periodicity, a small representative unit is used for molecular transport simulations
• Boundary Conditions:– Molecular source within structure– All walls are diffuse (molecules bounce off in
random direction)– Molecules stick to hemispherical collector
Source
Hemispherical Collector
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Results: Obtaining the Molecular Flux DistributionFE predictions for molecular outflow from honeycomb
Modelling is important to support or challenge assumptions about molecular transport
• Molecular flux is not focused • Compare angular profile to ideal point source
– No significant difference
Reference (cosθ)
Simulated Flux Profile
Molecular Flux vs Emission Angle
θ
Hemispherical Collector
Honeycomb(Molecular
Emitter)
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Credit: NASA
OutlineCase studies
1) Model molecular spatial profiles from a venting honeycomb
2) Molecular flux focusing in a vacuum chamber (per ASTM E1559 standard)• Verify and evaluate the model with experimental
data
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Flux FocusingAccelerating Molecular Accumulation in Experimental Testing
A focused molecular output can dramatically shorten test duration
• Test chamber often used to study molecular contamination on a substrate– Requires deposition of enough contaminants
Problem: Low outgassing materials require many weeks of testing
Proposed Solution: Focus molecular flux towards substrate
Contamination Effect Research and Testing Chamber (CERT)
FE Model of CERT Chamber Testing
Effusion Cell
Substrate
QCMs
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Effusion Cell
How to Focus Molecular FluxTesting hypothesis
• Hypothesis: Fit effusion cell with focusing cone– Redirect otherwise “wasted” flux to target
Focusing ConeBaseline Setup
Effusion Cell
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Finite Element SimulationsModel cone attachment and observe effect
Simulations show cone is able to focus molecular flux
• Measure flux profile emitted from effusion cell• Compare baseline vs cone
Baseline SetupNormalized Molecular
Flux Profile
Effusion Cell
Sample + QCMs
With Cone Attachment
Attachment designed with 22° cone
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Designing Cone AttachmentsIterating Focusing Cone Designs
Simulations allow easy iteration and quantitative comparisons
• Design cones of various angles and observe relative flux profiles
22° cone
15° cone
4° cone
1° cone
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Designing Cone AttachmentsIterating Focusing Cone Designs
Simulations suggest large flux focusing potential
• Compare QCM accumulation to baseline case to measure focusing power
Substrate
Center QCM
Side QCM
Baseline
Center QCM
Side QCM
Substrate
1° cone can theoretically focus flux x10
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Experimental ValidationHow do simulations compare to reality?
• Modelling enables design and approximate calculations• But how accurate are simulations?
• Experimental overview– Fabricate cone attachments– Measure molecular flux at different QCM positions– Compare with and without cone attachments
*Experimental details available in backup
Focusing Cone
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Experimental Results
Focusing effect experimentally observed at smaller magnitude
• Observations:– No focusing effect for 22°
and 15° cones
– Focusing for 4° cone is ~40% of predicted (but still ~x2.5 focusing effect)
– Focusing for 1° is minimal• Highly sensitive to
effusion cell alignment (likely not perfect, resulting in off-center flux)
SimulationsExperiments
Substrate
Center QCM
Side QCM
Baseline
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Flux Focusing Conclusions
Flux focusing can accelerate experiments by more than a factor of 2
• Modelling was used to successfully:– Confirm flux focusing hypothesis– Iterate on designs before fabrication
• Exact magnitude of effect reduced in experiments– Non-idealities of molecular transport assumption
with water• Molecular flow requires P < ~10-3 torr
– Misalignment of effusion cell
• Future work:– Use lower outgassing rate materials to ensure free
molecular flow regime– Account for effusion cell/cone angle alignment in
testing
SimulationsExperiments
Substrate
Center QCM
Side QCM
Baseline
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Conclusions
• Finite Element is a flexible tool to model complex geometries and quantitatively evaluate contaminant transport
• Due to non-idealities and unknowns, simulations may only be qualitative
– Always best to validate with experiments when possible
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Acknowledgements
Sustained Experimentation and Research for Program Applications at The Aerospace Corporation
Questions?
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Backup
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Experimental Procedure OutlineExperiments performed September 26 – October 21, 2019
• Setup– Prepare strips of composite in 90°C, 7% RH environment– Use 3 QCMs, with one in the sample position
• Procedure1) Set all QCMs to -173°C (100K)2) Heat composite samples in EC to 90°C3) Run for >10 hours4) Repeat
• Notes:– Multiple sets of composite strips were used, each within 1% of the same mass– Preconditioning and experiment runtimes were sufficient to nearly fully (de)saturate
the composite source– Sample prep and experimental timing were standardized
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Experimental ResultsComparing Simulation vs Experiments
Experiment shows focusing effect, but reduced magnitude
Sample Spot
Center QCM
Side QCMNo Cone
Simulations Experiments
• *Experimental uncertainty not quantified, but is estimated to be >10%
• Plots of View Factor show somewhat better agreement
– Shows relative flux to each QCM for a single experiment
ExperimentsSimulations
Sample Spot
Center QCM
Side QCM