Application of artificial intelligence (AI) in the area of corrosion protection

Abstract

Purpose As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research. Design/methodology/approach In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction. Findings With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs. Originality/value This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.

A novel method for estimation of electrode kinetics parameters

“…Particle swarm optimization (PSO) is a type of evolutionary algorithm that has been widely applied in the field of corrosion along with other artificial intelligence algorithms (Boucherit et al, 2022;Lin et al, 2023).…”

Corrosion Risk for Process Safety in the Chemical Industry

“…Literature is full of developing corrosion models, especially during the last three years (2021 -2023) [40,[44][45][46][47]. This singularity (explosion of research works and information) occurred owing to the use of Artificial Intelligence (AI) methods [48][49][50][51][52][53]. A comprehensive review and analysis of AI application in corrosion is outside of the scope of this paper.…”

“…The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, problem-solving, generalize, perception, and learn from experience. Among the different AI techniques, machine learning (ML), pattern recognition (PR), and deep learning (DL) have recently acquired considerable attention in corrosion engineering [44][45][46][47][48][49][50][51][52].…”