A Semi-Mechanistic Model for Predicting the Service Life of Composite Coatings on VW63Z Magnesium Alloy
作者机构：School of Energy and Power EngineeringBeihang UniversityBeijing100191China Beijing Institute of Space Long March VehicleBeijing100076China The School of Materials Science and EngineeringNortheastern UniversityShenyang110819China The State Key Laboratory of Rolling and AutomationNortheastern UniversityShenyang110819China Shanghai Spaceflight Precision Machinery InstituteShanghai201600China
出 版 物：《Acta Metallurgica Sinica(English Letters)》 (金属学报（英文版）)
年 卷 期：2024年第37卷第7期
页 面：1161-1176页
核心收录：
学科分类：080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）]
基 金：support from the National Natural Science Foundation of China(No.52201066) the National Program for the Young Top-notch Professionals
主 题：Magnesium alloy Service life prediction Plasma electrolytic oxidation Electrophoretic coating Corrosion resistance
摘 要：The application of Mg alloys is always accompanied by various coating technology, but a reliable model predicting the service life of coatings on Mg alloys is lacking but urgent. In this work, a semi-mechanistic model was proposed to predict the service life of plasma electrolytic oxidation (PEO) coating/electrophoretic coatings on a VW63Z Mg alloy;the model was decomposed into three parts: a first part depicting the degradation time of organic coating (L_(1)) and the diffusion time of electrolyte in the inorganic coating (L_(2)), respectively;a second part interpreting the breakdown of coatings due to the corrosion process (L_(3));a final part establishing an algorithm converting the accelerated tests into the real service environment (α);the effect of structural stress and dissimilar metal joints on the service life of coatings was also considered. Based on the ongoing accelerated experiments, the semi-mechanistic model could be able to predict the service life of both PEO coatings and composite coatings on VW63Z Mg alloy with a satisfiable precision.
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