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Aircraft and similar structures are exposed to many different types of environmental conditions over their operational life and this very much determines the type of damage they experience. For example sea based aircraft experience a much more aggressive environment than land based aircraft. Therefore it is critical to know the environmental exposure of an aircraft over the course of its lifetime to make meaningful predictions of accumulated corrosion damage.Computer simulation models have been demonstrated to be able to predict the rate of corrosion and the incidence of pitting but they require information on the electrolyte thickness conductivity/corrosivity and the polarization properties of the material. Therefore to use a computational model to predict the corrosion rate for an aircraft at a particular point of time during its service we would have to define the model parameters at that time as well as the exposure history.In this paper a service life model concept is developed based on environmental data collected using sensors combined with a galvanic corrosion simulation model. The galvanic simulation model input data is identified from the sensor data to predict the accumulation of corrosion damage. Applications of the model are presented and discussed.The approach is applicable not only to aircraft but to a wide range of structures.
The aim of this study was to determine the mechanism of atmospheric corrosion of zinc in areas of local NaCl contamination and to define the driving force of spreading of electrochemical reactions using Scanning Kelvin Probe (SKP).
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Service life of any weapon system depends upon factors that impart long-term durability and robustness to its structure and subsystems, while sustaining its functional properties. The paper describes basic principles and guidelines on corrosion control and rules that could be easily followed to ascertain some specified service life and reduce total ownership costs.