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Designers of future space vehicles envision simplifying the Atmosphere Revitalization (AR) system by combining the functions of trace contaminant (TC) control and carbon dioxide removal into one swing-bed system. Flow rates and bed sizes of the TC and CO2 systems have historically been very different. There is uncertainty about the ability of trace contaminant sorbents to adsorb adequately in a high-flow or short bed length configurations, and to desorb adequately during short vacuum exposures. This paper describes preliminary results of a comparative experimental investigation into adsorbents for trace contaminant control. Ammonia sorbents and low temperature catalysts for CO oxidation are the foci. The data will be useful to designers of AR systems for Constellation. Plans for extended and repeated vacuum exposure of ammonia sorbents are also presented.

Eight SUMMA passivated sampling canisters were shipped to the Russian Space Station Mir in February of 1995 to assess ambient trace contaminant concentrations. Prior to flight, the canisters were injected with isotope labeled surrogates and internal standards to measure potential negative impacts on measurement accuracy caused by the trip environmental conditions of launch and return. Three duplicate canister samples were collected in parallel with Russian sorbent samples to acquire data for comparative purposes. A total of 32 target and 13 non-target volatile compounds were detected in each of the samples analyzed. The concentrations of the compounds remained relatively consistent for the three sampling events, and all of the concentrations of detected contaminants were well below both US and Russian Spacecraft Maximum Allowable Concentrations (SMAC). Five different fluorocarbons were consistently detected at relatively high concentrations.

This paper describes the development plan for a comprehensive research and diagnostic tool for aspects of advanced life support systems in space-based laboratories. Specifically, it aims to build a high fidelity tabletop model that can be used for the purpose of risk mitigation, failure mode analysis, contamination tracking, and testing reliability. The work envisions a comprehensive approach involving experimental work coupled with numerical simulation to develop this diagnostic tool. The use of an index matching fluid (fluid that matches the refractive index of cast acrylic, the model material) allows making the entire model (with complex internal geometry) transparent and hence conducive to non-intrusive optical diagnostics. Experimental and modeling work to date will be presented.