Evaluation of the Ability of ANFIS and SVMR Models to Predict the Corrosion Inhibition of Cerium Conversion Coating

Majdi, M R; Ghobadi, Moslem; Danaee, I.; Zarezadeh, Alireza; Saebnoori, Ehsan; Chocholatý, Ondřej; Panah, Niloufar Bahrami

doi:10.1134/s2070205122040128

Cited by 2 publications

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO₂ nanoparticle

Karbasian,

Danaee,

Saebnoori

et al. 2024

Materials Testing

View full text Add to dashboard Cite

In this work, to promote the cathodic and barrier performance of zinc-rich cycloaliphatic epoxy resin (ZRER) coatings containing 90 wt.% zinc dust particles, cerium oxide nanoparticles were used. The effect of CeO2 content 0–5 wt.% and the anticorrosion behavior of nanocomposite coatings were investigated by different techniques, including open circuit potential, electrochemical impedance spectroscopy, and salt spray tests. Results revealed that ZRER coatings containing 2 wt.% CeO2 nanoparticles had boosted sacrificial anode and barrier protection during immersion in a 3.5 wt.% NaCl solution. The addition of 2 wt.% CeO2 into the coating system significantly reduced corrosion products and blisters while increasing resistances from 72,443 Ω cm2 to 426,579 Ω cm2 compared with the control ZRER sample after 120 days immersion. This high-performance anticorrosion behavior of the nanocomposite coatings is mostly due to the CeO2 nanoparticles, which have the capability to moderate the zinc dissolution rate in addition to improving the barrier by filling porosity and creating tortuous paths.

show abstract

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO₂ nanoparticle

Karbasian,

Danaee,

Saebnoori

et al. 2024

Materials Testing

View full text Add to dashboard Cite

show abstract

Artificial Intelligence and Machine Learning in Corrosion Research

Anadebe

Chukwuike

Okoye

et al. 2023

Advances in Chemical and Materials Engineering

View full text Add to dashboard Cite

Currently, the world is gradually moving to a digital world with the advent of artificial intelligence and machine learning models. The invention of these algorithms is a very big development for society. Artificial intelligence is a branch of science and engineering discipline concerned with teaching machines to think fast and operate like humans. Machine learning is concerned with using computer software to analyse complex non-linear tasks without the need for complex programming. In the oil and gas sector, the use of artificial intelligence and machine learning to appraise the efficiency of an inhibitor is gradually gaining attention in corrosion inhibition and pipeline integrity assessment. However, the proposed chapter will discuss more on the role of artificial intelligence and machine learning in corrosion related research.

show abstract

Evaluation of the Ability of ANFIS and SVMR Models to Predict the Corrosion Inhibition of Cerium Conversion Coating

Cited by 2 publications

References 42 publications

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO₂ nanoparticle

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO₂ nanoparticle

Artificial Intelligence and Machine Learning in Corrosion Research

Contact Info

Product

Resources

About

Evaluation of the Ability of ANFIS and SVMR Models to Predict the Corrosion Inhibition of Cerium Conversion Coating

Cited by 2 publications

References 42 publications

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO2 nanoparticle

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO2 nanoparticle

Artificial Intelligence and Machine Learning in Corrosion Research

Contact Info

Product

Resources

About

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO₂ nanoparticle

Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO₂ nanoparticle