A user-friendly Windows program has been developed with the capability to assess corrosion of commercial alloys in complex gases at high temperatures, Thermochemical predictions of the stable alloy corrosion products are used to infer the likely corrosion mechanism. Regression analysis is used to produce correlations of alloy corrosion with exposure conditions. A large data collection has been compiled and represents nearly 4.7 million hours of exposure time for 71 alloys. The data represent total metal penetration (sound metal loss by surface scale plus internal corrosion) and have been collected from public plus private
sources representing a time period of nearly 40 years. The data originated from well-defined exposures with known concentrations of H2, H2S, H2O, CO, CO2, COS,O2, N2, and CH4, temperature, exposure time, and alloy. A large amount of information is now available to predict corrosion for the conditions of interest. The capabilities of the program are reviewed in this presentation for corrosion by oxidation, sulfidation, oxidatioti sulfidation, and carburization.
Kevwords: oxidation, oxides, sulfidation, sulfides, sulfidatiotioxidation, carbrrrization, carbides, database, corrosion correlations, corrosion products, statistics, corrosion predictions