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Corrosion resistive conducting polymeric nanocomposite-based coatings on steel: a mechanistic insight

  • Kuntal Sarkar , Rishi Raj , Tapan K. Rout and Suryasarathi Bose EMAIL logo
Published/Copyright: April 15, 2025
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Abstract

Conducting polymers and polymer-based nanocomposites has occupied significant importance in the scientific field as well as engineering research and applications. Among all different applications, conducting polymers as a corrosion resistive coating on steel have developed a lot of research interest and success for the last four decades. This paper provides an extensive review on the corrosion resistive conducting organic polymer coating systems over steel substrates. It mainly discusses different mechanisms of corrosion provided by different conducting polymer coatings over steel. The corrosion resistance mechanisms of coatings based on polyaniline (PANI) and polypyrrole (PPy) and their nanocomposites, which are considered very promising conducting polymers in different fields, are reviewed here. PANI provides corrosion resistance via different mechanisms. PANI in oxidised form can offer effective anodic corrosion resistance to steel surface due to its higher oxidising ability than in reduced form. It can provide a good extent of barrier protection to steel as well. PPy also can provide both the barrier and anodic protection. The mechanism of intelligent release of doped corrosion inhibitive anions from the conducting polymer coating and its contribution to corrosion protection mechanism of steel is also focused in this article. The limitations of conducting polymer coating are briefly discussed.


Corresponding author: Suryasarathi Bose, Department of Materials Engineering, Indian Institute of Science, Bangalore-560012, India, E-mail:

Acknowledgement

The authors (S.B. and R.R.) would like to acknowledge IISc, Bangalore and Tata steel ltd., Jamshedpur for their support in this work.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: K.S. and R.R. have contributed in literature survey, data interpretation, analysis and manuscript writing and T.K.R. and S.B. helped in editing, data analysis and designing the frame work of the manuscript.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: The funding for this research was provided by IISc Bangalore and Tata steel ltd., Jamshedpur.

  7. Data availability: Not applicable.

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Received: 2024-08-09
Accepted: 2025-01-21
Published Online: 2025-04-15
Published in Print: 2025-05-26

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