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Published on: March 15, 2017
Organic Compounds as Corrosion Inhibitors for Carbon Steel in HCl Solution: A Comprehensive Review
Liangyuan Chen1,2, Dongzhu Lu1,2, Yanhu Zhang3
1Open Studio for Marine Corrosion and Protection, Pilot National Laboratory for Marine Science and Technology, No. 1 Wenhai Road (Qingdao), Qingdao 266200, China.
This study reviews carbon steel corrosion inhibitors in 1.0 M HCl, classifying organic molecules and nanomaterials. It provides comparative analysis to guide the selection of effective, eco-friendly, and cost-efficient corrosion inhibitors.
Area of Science:
- Materials Science
- Electrochemistry
- Physical Chemistry
Background:
- Corrosion of carbon steel in acidic media is a significant industrial challenge.
- Numerous studies investigate organic molecules and (nano)materials as corrosion inhibitors.
- Standardized evaluation methods are crucial for comparing inhibitor performance.
Purpose of the Study:
- To conduct a comparative study of various corrosion inhibitors for carbon steel in 1.0 M HCl.
- To identify inhibitor types offering high efficiency at low concentrations with non-toxic and cost-effective properties.
- To provide a reference for developing new, superior corrosion inhibitors.
Main Methods:
- Literature review and data collection from carbon steel/1.0 M HCl systems.
- Classification of inhibitors based on structural characteristics, size, and source.
- Statistical analysis of experimental and theoretical data.
- Introduction to corrosion mechanisms, evaluation methods, adsorption models, and characterization techniques.
Main Results:
- Organic compounds and (nano)materials were classified into six types: drug molecules, ionic liquids, surfactants, plant extracts, polymers, and polymeric nanoparticles.
- Key conclusions from recent literature on inhibitor performance were outlined.
- Evaluation methods, characterization techniques, and experimental data were compiled for comparative analysis.
Conclusions:
- Comparative analysis of inhibitors in the carbon steel/1.0 M HCl system aids in selecting optimal candidates.
- Statistical insights can reduce information acquisition workload and guide future inhibitor development.
- The study provides a foundation for developing more efficient, environmentally friendly, and economical corrosion inhibitors.
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