Application of artificial neural network and adaptive neuro-fuzzy inference system to investigate corrosion rate of zirconium-based nano-ceramic layer on galvanized steel in 3.5% NaCl solution

Mousavifard, S.M.; Attar, M.M.; Ghanbari, Ali; Dadgar, Mehran

doi:10.1016/j.jallcom.2015.03.052

Cited by 22 publications

(8 citation statements)

References 45 publications

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“…The influence of different parameters on the final performance could be determined. This can be used to adjust different parameters to prepare the desired films (Coşkun and Karahan, 2018; Mousavifard et al , 2015). Similar methods can also be used to predict the corrosion properties of stainless-steel surface treatment (Jafari et al , 2011).…”

Section: Anticorrosion Materials and Methodsmentioning

confidence: 99%

“…At present, AI is playing a more and more important role in the field of scientific research. In terms of corrosion science research, the application of AI mainly focuses on corrosion protection materials and methods (Belayadi et al , 2019; Coşkun and Karahan, 2018; Feiler et al , 2020; Jafari et al , 2011; Jiménez-Come et al , 2012; Mousavifard et al , 2015; Wen et al , 2009; Zadeh Shirazi and Mohammadi, 2017), corrosion image recognition (Ahuja and Shukla, 2018; Hoang and Tran, 2019; Petricca et al , 2016; Tian et al , 2019; Yao et al , 2019) and corrosion life prediction (Al-Shehri, 2019; Alani and Faramarzi, 2014; Chae et al , 2020; Guzman Urbina and Aoyama, 2018; Zhi et al , 2020). Compared with traditional methods, AI shows unique advantages (Boucherit et al , 2022; Boucherit et al , 2019; Boucherit and Arbaoui, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Application of artificial intelligence (AI) in the area of corrosion protection

Lin

Zhang

et al. 2023

ACMM

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Purpose As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research. Design/methodology/approach In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction. Findings With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs. Originality/value This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.

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Section: Anticorrosion Materials and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of artificial intelligence (AI) in the area of corrosion protection

Lin

Zhang

et al. 2023

ACMM

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“…The composition of the material to be coated automatically reaches a certain limit value depending on its geometry and dipping time. Batch hot-dip galvanized coating is a complete immersion process applied after all welding, shearing, cutting-drilling, and hole punching, all surfaces are protected from corrosion by zinc [7][8][9]. Silicon and phosphorous content in steel yield the customary shiny silver coating and other percentages result in matte gray coatings.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric Corrosion Behavior of Hot-Dip Galvanized and Continuous Galvanized Steel

Sığırcık¹,

Yıldırım²,

Tüken

2022

Acta Metall Slovaca

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Five years of outdoor atmospheric corrosion tests of hot dip galvanized steel samples were performed, for products of continuous galvanizing and after fabrication batch galvanizing processes. For the purpose of comparison between corrosion performances of these two different galvanizing process products, an industrial coastal area (Gemlik-Bursa/TURKEY) was chosen for outdoor testing, which fits into C4 type corrosive atmosphere definition, according to ISO 9223. Samples were studied in laboratory with accelerated salt spray exposure test and electrochemical methods. Corrosion products formed on exposed samples and cross section of coatings are analyzed by SEM. Lead is observed to change the corrosion characteristics of the coatings with change in constituents of environments. In saline electrolytes, alloying of lead is found to accelerate corrosion rate. This metal deposits as cluster on top layer of the galvanized coatings and acts as strong cathodes with respect to the zinc and accelerates the corrosion rate. It was determined that differences in dip and continuous galvanization processes cause dramatic differences in the elemental composition, morphology and regional hardness values of coatings. In the comparison of corrosion resistance, lower performance of the dip galvanized coating, although it is much thicker, has been shown due to the differences mentioned above.

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“…Indeed, many jurisdictions have restricted its use in many applications, while countries of the EU are likely to ban Cr(VI) completely in the majority, if not all, industries [2,3]. For these reasons, the surface treatment industry has been researching alternatives that are more ecologically acceptable than CCC examples of which include: zirconates [4,5], titanates [6,7], molybdates [8,9], cerates and related rare-earth systems [10,11], and other sol-gel systems [12,13].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of a Zr-based conversion coating on galvanised steel and its performance against corrosion

Cardoso

Rapacki

Ferreira

2019

Corrosion Engineering, Science and Technology

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New protective coatings with satisfactory performance and low impact are required by the surface treatment industry as effective Cr(VI)-free substitutes. Recently conversion coating systems containing Zr/Ti have shown great promise particularly for zinc finishes on steel and in this paper, we study the influence of bath conditions (e.g. pH and time) on conversion layers composed of a Zr-based film. The coating formation was studied by simultaneous monitoring of open circuit potential and surface pH using a novel cell design. Samples were subsequently characterised by electrochemical impedance spectroscopy in NaCl over a 24-hour period. The system demonstrates a correlation between pH of formation and corrosion resistance.

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Application of artificial neural network and adaptive neuro-fuzzy inference system to investigate corrosion rate of zirconium-based nano-ceramic layer on galvanized steel in 3.5% NaCl solution

Cited by 22 publications

References 45 publications

Application of artificial intelligence (AI) in the area of corrosion protection

Application of artificial intelligence (AI) in the area of corrosion protection

Atmospheric Corrosion Behavior of Hot-Dip Galvanized and Continuous Galvanized Steel

Monitoring of a Zr-based conversion coating on galvanised steel and its performance against corrosion

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