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Corrosion is the most important materials failure mechanism in industry. The aims of this work are to provide tools that allow to minimize the corrosion losses in raw materials sector by providing real-time information on materials performance of corrosion-resistant alloys under the harsh operation conditions, and by further elaborating the information in the corrosion prediction and materials selection tool with the use of computational modelling. The project will focus on various grades of stainless steels.


The developed corrosion on-line monitoring tools are sensors and the related electronics that provide real-time corrosion rate data remotely. Therefore, the sensors may be placed in challenging and hard-to-reach locations, including process tanks and containers. The corrosion prediction software tools respond directly to the needs of raw materials sector and are expected to find market also in other industry sectors facing challenges with materials durability in harsh operation conditions.