Quantitative Modeling for Corrosion Behavior in Complex Coupled Environment by Response Surface Methodology

• Published in: Acta metallurgica sinica : English letters 2015-08, Vol.28 (8), p.994-1001
• Main Authors: Liu, Jing, Zhang, Tao, Zhang, Wei, Yang, Yan-Ge, Shao, Ya-Wei, Meng, Guo-Zhe, Wang, Fu-Hui
• Format: Article
• Language: English
• Subjects: Characterization and Evaluation of Materials; Chemistry and Materials Science; Chlorides; Corrosion; Corrosion and Coatings; Corrosion effects; Corrosion environments; Corrosion tests; Design of experiments; Electrodes; Gas pipelines; Joining; Materials Science; Mathematical models; Metallic Materials; Nanotechnology; Natural gas; Organometallic Chemistry; Pitting (corrosion); Polynomials; Regression analysis; Response surface methodology; Spectroscopy/Spectrometry; Temperature; Tribology; Variables; 临界点蚀温度; 响应面法; 定量建模; 氯离子浓度; 环境因素; 相互作用; 耦合; 腐蚀行为
• ISSN: 1006-7191; 2194-1289
• DOI: 10.1007/s40195-015-0286-9

Response surface methodology（RSM） is introduced into corrosion research as a tool to assess the effects of environmental factors and their interactions on corrosion behavior and establish a model for corrosion prediction in complex coupled environment（CCE）. In this study, a typical CCE, that is, the corrosion environment of pipelines in gas field is taken as an example. The effects of environmental factors such as chloride concentration, pH value and pressure as well as their interactions on critical pitting temperature（CPT） were evaluated, and a quadratic polynomial model was developed for corrosion prediction by RSM. The results showed that the model was excellent in corrosion prediction with R2= 0.9949. CPT was mostly affected by single environmental factor rather than interaction, and among the whole factors, chloride concentration was the most influential factor of CPT.