Home /Research /Deep learning-based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study: A case study: Part B: Corrosion protection of mild steel used in underwater study
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Deep learning-based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study: A case study: Part B: Corrosion protection of mild steel used in underwater study

Thankappan Sasilatha, Doss Amala, Rajendran Santhammal, Časlav Lačnjevac, Gurmeet Singh

Year
2022
Citations
10
Access
Open access

Abstract

Buried metal objects in seawater may undergo corrosion because of the corrosive ions such as chloride ions present in seawater. However, a paint coating may control the corrosion of the metal objects such as robots. Corrosion resistance of mild steel in 3.5 % sodium chloride solution before and after coating with Asian guard red paint has been evaluated by polarization study and AC impedance spectra. In presence of Asian guard red paint, the linear polarization resistance increases, corrosion current decreases, charge transfer resistance increases, double layer capacitance decreases and impedance value increases. That is corrosion resistance of mild steel objects in 3.5 % sodium chloride solution increases after coating with Asian guard red paint.

Keywords

CorrosionMaterials scienceChlorideCoatingUnderwaterDielectric spectroscopyPolarization (electrochemistry)MetalSeawaterSodium

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