A Review of Trends in Corrosion-Resistant Structural Steels Research-From Theoretical Simulation to Data-Driven Directions

This paper provides a review of models commonly used over the years in the study of microscopic models of material corrosion mechanisms, data mining methods and the corrosion-resistant performance control of structural steels. The virtual process of material corrosion is combined with experimental d...

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Bibliographic Details
Published in:Materials 2023-04, Vol.16 (9), p.3396
Main Authors: Xu, Di, Pei, Zibo, Yang, Xiaojia, Li, Qing, Zhang, Fan, Zhu, Renzheng, Cheng, Xuequn, Ma, Lingwei
Format: Article
Language:English
Subjects:
Adsorption
Alloying effects
Alloying elements
Analysis
Big Data
Control systems
Corrosion
Corrosion effects
Corrosion mechanisms
Corrosion prevention
Corrosion rate
Corrosion resistance
Corrosion resistant steels
Data mining
Experimental methods
Grain size
Mathematical models
Modelling
R&D
Research & development
Research methodology
Review
Simulation
Software
Steel
Steel, Structural
Structural steels
Trends
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Summary:This paper provides a review of models commonly used over the years in the study of microscopic models of material corrosion mechanisms, data mining methods and the corrosion-resistant performance control of structural steels. The virtual process of material corrosion is combined with experimental data to reflect the microscopic mechanism of material corrosion from a nano-scale to macro-scale, respectively. Data mining methods focus on predicting and modeling the corrosion rate and corrosion life of materials. Data-driven control of the corrosion resistance of structural steels is achieved through micro-alloying and organization structure control technology. Corrosion modeling has been used to assess the effects of alloying elements, grain size and organization purity on corrosion resistance, and to determine the contents of alloying elements.
ISSN:1996-1944
1996-1944
DOI:10.3390/ma16093396