Prediction of Localized Corrosion Damage of Some Machine Components by Means of Extreme Value Statistical Analysis

As a series of study to develop a procedure to make a quantitative evaluation of corrosion data, it is demonstrated that the extreme value statistical analysis can be successfully applied to various localized corrosion data acquired from machine components presently in service, and that corrosion life prediction can be done by examining the time dependence of predicted maximum depth of penetration.The following localized corrosion data are obtained from the machine components in service: tuberculation of carbon steel feed water pipes for hydroelectric power stations, pitting and crevice corrosion of cupro-nickel heat exchanger tubes employed for a chilling machine using a reclaimed water as a coolant, and crevice corrosion of type 316 stainless steel swathed joints used for high speed liquid chromatography are analyzed thoroughly.