Optimization Strategies for Corrosion Management in Industries with Artificial Neural Network and Response Surface Technology: A Comprehensive Review

Abstract

AbstractThe rising cases of corrosion problems in pipelines, refineries, water treatment and petrochemical plants, as well as in power generation plants in recent time have been attributed to industrialization. The longevity and dependability of essential assets must be ensured through effective corrosion management. The various techniques applied for corrosion protection are discussed in this review. But in recent years, the development of response surface methods (RSM) and artificial neural networks (ANN) has shown exciting prospects to transform the corrosion monitoring process. This review paper gives a thorough overview of corrosion optimisation strategies. The role of ANN and RSM in predicting corrosion using various parameters is discussed. By providing insights into the current state of research on ANN, this paper aims to promote a deeper understanding. The review emphasises how crucial it is to adequately manage corrosion if essential assets are to last a long time and function consistently.