Optimized Cost Effective and Environment Friendly Aluminium Alloy Corrosion Inhibitor
摘要
The mitigation of surface degradation processes in aerospace and automotive industries is paramount for maintaining structural integrity and reliability standards. This paper explores the adsorption of inhibitors on aluminium surfaces as a protective measure against degradation, by employing a machine learning approach. By embedding inhibitors within smart coating materials, a protective layer is formed upon mechanical damage, hindering aluminium degradation. In this paper we have identified the aluminium alloy corrosion inhibitor which is cost effective and environment friendly.