Long term observations of molecular film accumulation (Conference Presentation)

Jonathan W. Arenberg; Matthew J. Macias; Lauren D. White; Ricardo Lara

doi:10.1117/12.2632896

3 October 2022 Long term observations of molecular film accumulation (Conference Presentation)

Jonathan W. Arenberg, Matthew J. Macias, Lauren D. White, Ricardo Lara

Author Affiliations +

Proceedings Volume 12224, Space Systems Contamination: Prediction, Control, and Performance 2022; 122240R (2022) https://doi.org/10.1117/12.2632896
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

The current method for the prediction of molecular contamination build up in systems such as the James Webb Space Telescope and other large astronomical satellites is based on a monotonic linear model of accumulation. Recent long term observations carried out at Northrop Grumman facilities have shown this model to be extremely conservative and therefore highly misleading. The over prediction of molecular contamination using the traditional model causes excessive expenditure of resources to mitigate overestimated buildup. This paper reviews the long term observations of contaminant film thickness accumulation made at Northrop Grumman facilities. The formulation of a semi-empirical method for the prediction of film thickness evolution consistent with both observation and first principles is discussed in detail. The paper concludes with a validation of the predictions of the semi-empirical model. The increased accuracy of the semi-empirical method holds the promise of improved and effective means of contamination control, thus reducing mission cost and risk.

Conference Presentation

Citation Download Citation

Jonathan W. Arenberg, Matthew J. Macias, Lauren D. White, and Ricardo Lara "Long term observations of molecular film accumulation (Conference Presentation)", Proc. SPIE 12224, Space Systems Contamination: Prediction, Control, and Performance 2022, 122240R (3 October 2022); https://doi.org/10.1117/12.2632896

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