Paper
11 September 2002 Development and validation of a new return flux model for the International Space Station
Jean-Francois Roussel, Carlos E. Soares, William D. Schmidl
Author Affiliations +
Abstract
This paper documents the development and validation of a new return flux model for the International Space Station (ISS). This model has been developed to augment current ISS external contamination modeling tool capabilities. The model is capable of characterizing return flux from ISS molecular emission sources. These sources include materials outgassing, vacuum venting, propellant purging and thruster firings. The BGK method (named after its authors: Bhatnagar, Gross and Krook1) was selected for modeling ambient scatter. This method was used to reduce computational times, as the ISS geometric models used for external contamination modeling may contain up to 40,000 surface elements. The model has been validated by comparison with analytical results and with results from the ESA COMOVA software. Validation with on-orbit flight experiment data will be conducted when adequate experimental data is available. Previously flown experiments (i.e., REFLEX) have not produced data with high enough fidelity to validate this model. The model has been applied to the ISS to characterize return flux from the European Columbus module onto its own payload locations. Analysis results indicate the return flux contribution to ESA payload surfaces will be small, but not negligible.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jean-Francois Roussel, Carlos E. Soares, and William D. Schmidl "Development and validation of a new return flux model for the International Space Station", Proc. SPIE 4774, Optical System Contamination: Effects, Measurements, and Control VII, (11 September 2002); https://doi.org/10.1117/12.481650
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Cited by 1 scholarly publication.
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KEYWORDS
Molecules

Scattering

Optical spheres

Contamination

Space operations

Data modeling

Resolution enhancement technologies

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