Computer Science
Scientific paper
Nov 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994nascp3280...25l&link_type=abstract
In NASA. Goddard Space Flight Center, Eighteenth Space Simulation Conference: Space Mission Success Through Testing p 25-35 (SEE
Computer Science
Contaminants, Contamination, Infrared Spectra, Light Scattering, Occultation, Particulates, Scattering Functions, Windows (Apertures), Ascent, Flight Operations, Ground Operational Support System, Missiles, Shapes, Software Tools, Space Environment Simulation
Scientific paper
This paper presents an analysis to predict the effects of light scattering by surface particles on the sensor window of a missile during ascent flight. The particulate contaminant distribution on the window is calculated by tallying the number of particles in a set of size ranges. The particulate contamination at the end of the mission is predicted by adding the contributions from the events of ground and flight operations. The surface particle redistributions caused by vibroacoustically induced surface acceleration was found to contribute the most of the particulate surface contamination. The analytical surface obscuration calculation with a set of particle counts was compared to the results of image analyzer measurement. The analytical results, which were calculated with a given function of particle shape depending on the size, were more conservative than the measurement. A scattering calculation using a verified BSDF model showed that the scattering was less than 0.001 at 20 off the direction of the incident light in the mid IR wavelength when the surfaces were at Level 300 initially.
Fong Michael C.
Lee Aleck L.
No associations
LandOfFree
Prediction of particulate contamination on aperture window does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Prediction of particulate contamination on aperture window, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Prediction of particulate contamination on aperture window will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-949701