Machine Learning Model to Map Tribocorrosion Regimes in Feature Space

Degradation by wear and corrosion are frequently encountered in a variety of tribosystems, including materials tools forming operations. The combined effect corrosion, known as tribocorrosion, can result accelerated material degradation. Interfacial conditions affect this Tribocorrosion maps serve the purpose identifying operating at interface for an acceptable rate This paper proposes machine learning-based approach to generate tribocorrosion maps, which be used predict tribosystem performance. Two datasets from published literature used. have been chosen based on wide availability their data literature. First, unsupervised learning is identify label clusters data. identified then train support vector classification model. trained maps. generated compared with those general applied create widely forming.