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Increasing pressures to move products and processes quickly out of the laboratory coupled with decreased resources for making materials evaluations have forced greater reliance on accelerated tests for making lifetime predictions. This paper discusses how combining both electrochemical and non-electrochemical tests can enable successful lifetime predictions to be made when testing must be limited. Examples are used to show that appropriate use of these tools when combined with experience which may be captured in an artificial neural network, enables the corrosion practitioner to overcome the dilemma of having to make important materials decisions from insufficient data.
corrosion, corrosion testing, electrochemical tests, polarization scans, electrochemical impedance spectroscopy, immersion tests, rotating cylinder electrode, artificial neural networks, chemical process industries
Fellow, Monsanto Company, St. Louis, MO