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Preparation of Superhydrophobic Coating on X80 Steel and Its Corrosion Resistance in Oilfield Produced Water.
Yang, Fanxi; Zhang, Jinling; Pan, Jie; Liu, Yangli; Yu, Yanchong; Wang, Shebin.
Affiliation
  • Yang F; College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
  • Zhang J; College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
  • Pan J; College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
  • Liu Y; School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
  • Yu Y; College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
  • Wang S; College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Langmuir ; 40(19): 10250-10260, 2024 May 14.
Article in En | MEDLINE | ID: mdl-38688029
ABSTRACT
Corrosion is an unavoidable issue that steel encounters during service; however, the generic methods employed for corrosion prevention often need high cost or preparation conditions. In this study, a facile chemical replacement deposition method was proposed to realize an anticorrosion superhydrophobic coating on a X80 steel surface. The growth mechanism of the rough structure and its impact on the wettability of the superhydrophobic coating were analyzed. The superhydrophobic coating, deposited for 50 s and modified for 30 min, achieved optimal electrochemical properties and a maximum water contact angle. The immersion test, in the saturated CO2 oilfield produced water, demonstrated the better corrosion resistance of superhydrophobic coating than X80 steel. Correspondingly, a kinetic corrosion model was established to analyze the anticorrosion mechanism. In summary, this method significantly improves the corrosion resistance of X80 steel and is attractive for other industrial fields.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2024 Document type: Article Affiliation country: