Abstract: The work is devoted to the development and software implementation of a specialized web interface for data processing, visualization and predictive analysis of corrosion resistance of protective coatings. The article presents a mathematical apparatus combining the equations of diffusion of aggressive media through polymer matrices (Fick’s second law), the kinetics of electrochemical dissolution of a metal substrate (Tafel equation) and empirical models of degradation of protective layers. Based on the proposed formalisms using Python, the Streamlit framework, and the Pandas, NumPy, and Plotly libraries, an interactive software package was designed. The developed tool makes it possible to automate the input and filtering of experimental data, perform multifactorial regression analysis, build 2D and 3D graphical dependencies, and predict the estimated uptime of coatings. The applied benefit of this work is the formation of a convenient digital twin, which helps to significantly reduce the number of experiments in the process of searching for optimal characteristics of insulating compounds.

Keywords: corrosion resistance, software solution, computer simulation, Python, Streamlit, polymer films, regression methods, graphical data visualization.