Predicting contamination accumulation in facilities with limited data

Elaine M. Stewart; Eve M. Wooldridge; Joseph O. Ward

doi:10.1117/12.2634154

3 October 2022 Predicting contamination accumulation in facilities with limited data

Elaine M. Stewart, Eve M. Wooldridge, Joseph O. Ward

Proceedings Volume 12224, Space Systems Contamination: Prediction, Control, and Performance 2022; 122240E (2022) https://doi.org/10.1117/12.2634154
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

In preparation for the James Webb Space Telescope (JWST) launch at the Centre Spatial Guyanias (CSG) in French Guiana, particulate contamination accumulation predictions were necessary for each facility in which the hardware would be exposed because the Telescope would be uncovered in each of the facilities and had strict particulate requirements. These included facilities for final integration and testing, fueling, transportation and encapsulation. Minimal heritage data existed from CSG and previous launch campaigns to use as a basis for contamination predictions. Data from the Automatic Transfer Vehicle and Herschel-Planck launch campaigns were used in conjunction with facility monitoring data provided by the European Space Agency (ESA) and data collected during a JWST working group visit to CSG. These campaigns were conducted at varying cleanliness levels that were typically less stringent than JWST requirements. Each facility was evaluated using the data provided and likely performance improvement with the addition of High Efficiency Particulate Air filter (HEPA) banks operating when possible. Once the launch campaign was completed, the predicted fallout was compared with actual data collected throughout the campaign. Based on the actual measurements, JWST’s primary and secondary mirrors turned out to be much cleaner than what was predicted.

Conference Presentation

Citation Download Citation

Elaine M. Stewart, Eve M. Wooldridge, and Joseph O. Ward "Predicting contamination accumulation in facilities with limited data", Proc. SPIE 12224, Space Systems Contamination: Prediction, Control, and Performance 2022, 122240E (3 October 2022); https://doi.org/10.1117/12.2634154

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