Abstract
Improving the accuracy of coating lifetime prediction on small sample data has been an urgent issue to be addressed. In this paper, based on in-situ electrochemical impedance spectroscopy data of multilayer Cr/GLC coatings, a lifetime prediction formula related to the coating failure mechanism is developed, which provides a quantitative basis for estimating the coating lifetime. Furthermore, the combination of the mechanistic prediction model and the ANN + RF integrated machine learning model can further increase the model’s prediction accuracy, reach 97.9%, and provide a new method for predicting coating performance and lifetime in deep-sea environments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have