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Process capability information, combined with simplified component geometric models and assembly variation transfer functions built from Monte Carlo simulations, can give aircraft designers early estimations of product variability. Such predictions traditionally must wait for detailed component designs-after many important sourcing and production decisions have been made and when alternative designs are no longer an option. An additional benefit of early variation analysis is identification of major contributors to critical assembly variation. This information can alert downstream part designers of potential problem areas and also identify key manufacturing processes capabilities that must be verified, measured, and/or improved. This paper presents an efficient, top-down approach to move assembly variation analysis into early stages of aircraft development.

The docking and integration of the Priroda module into the Space Station Mir Complex in 1996 provided a unique opportunity to assess the potential impact on the trace contaminant concentrations in the station complex. Since Priroda was substantially loaded with new US flight hardware, the data are potentially relevant to future similar operations associated with the buildup of the International Space Station. Grab samples were collected to assess the Priroda concentrations prior to integration and to capture the profile of concentrations after the start of Priroda inter-module ventilation. A long term time integrated sampler was configured for collection of canister samples over a time interval of seven days.