Predictive Techniques for Spacecraft Cabin Air Quality Control

Format:

Conference/Event

Author/Creator:

Perry, J. L., author.

Conference Name:

31st International Conference On Environmental Systems (2001-07-09 : Orlando, Florida, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2001

Summary:

As assembly of the International Space Station (ISS) proceeds, predictive techniques are used to determine the best approach for handling a variety of cabin air quality challenges. These techniques use equipment offgassing data collected from each ISS module before flight to characterize the trace chemical contaminant load. Combined with crew metabolic loads, these data serve as input to a predictive model for assessing the capability of the onboard atmosphere revitalization systems to handle the overall trace contaminant load as station assembly progresses. The techniques for predicting in-flight air quality are summarized along with results from early ISS mission analyses. Results from ground-based analyses of in-flight air quality samples are compared to the predictions to demonstrate the technique's relative conservatism

Notes:

Vendor supplied data

Publisher Number:

2001-01-2398

Access Restriction:

Restricted for use by site license