Investigating corrosion resistance in Ni–Al2O3 composite coatings: a fuzzy logic-based predictive study

• Published in: International journal of advanced manufacturing technology Vol. 132; no. 9-10; pp. 4363 - 4381
• Main Authors: Rezgui, Imane, Belloufi, Abderrahim, Abdelkrim, Mourad
• Format: Journal Article
• Language: English
• Published: London Springer London 01-06-2024; Springer Nature B.V
• Subjects: Aluminum oxide; CAE) and Design; Coatings; Computer-Aided Engineering (CAD; Corrosion rate; Corrosion resistance; Electrodeposition; Engineering; Fuzzy logic; High temperature; Industrial and Production Engineering; Mechanical Engineering; Media Management; Optimization; Original Article; Temperature; Ni–Al; composite coatings; Corrosion resistance; Fuzzy inference; Electrodeposition; O
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-024-13642-4

This research explores “Ni–Al
2
O
3
” composite coatings produced through conventional electrodeposition, examining their corrosion resistance about variations in alumina concentration, bath temperature, and applied electrical current. Unlike previous studies, this research introduces a new fuzzy inference model, used in conjunction with polarization techniques, to analyze the impacts of the parameters. The model closely aligns with experiments, exhibiting 4.336% average error for corrosion rates. Such precision offers a promising pathway for optimizing corrosion resistance, an aspect that has not been sufficiently addressed in previous research. Findings highlight the crucial influence of Al
2
O
3
, showcasing minimal corrosion rates at 5 g/l at 30 °C and 15 g/l at 40 °C. Optimal corrosion resistance peaks at 15 g/l Al
2
O
3
, declining beyond this concentration. Elevated temperatures diminish resistance post 40 °C. Increasing Al
2
O
3
concentration halves corrosion rates, demonstrating effective Al
2
O
3
particle incorporation. Bath temperature and Al
2
O
3
concentration synergy significantly reduce corrosion rates until 40 °C. However, beyond 40 °C, corrosion rates rise irrespective of current. The study underscores bath temperature’s dominance over deposition current in influencing Ni–Al
2
O
3
coating anti-corrosive properties. Employing fuzzy logic with only 60 experiments provides an economical approach for predicting corrosion rates, marking a substantial stride in developing high-corrosion-resistant metallic composites.