Suvakeen Amala Doss Hebciba, Mary

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  • Suvakeen Amala Doss Hebciba, Mary (1)
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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

Rajendran, Dorothy; Sasilatha, Thankappan; Suvakeen Amala Doss Hebciba, Mary; Rajendran, Susai Santhammal; Lačnjevac, Časlav; Singh, Gurmeete

(Engineers Society for Corrosion, 2022)

TY  - JOUR
AU  - Rajendran, Dorothy
AU  - Sasilatha, Thankappan
AU  - Suvakeen Amala Doss Hebciba, Mary
AU  - Rajendran, Susai Santhammal
AU  - Lačnjevac, Časlav
AU  - Singh, Gurmeete
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6058
AB  - Buried metal objects in sea water 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.
PB  - Engineers Society for Corrosion
T2  - Materials Protection
T1  - 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
T1  - DETEKTOVANJE PODVODNIH METALNIH OBJEKATA POMOĆU VEŠTAČKE INTELIGENCIJE I ZAŠTITA OD KOROZIJE PREDMETA OD MEKOG ČELIKA KORIŠĆENIH U PODVODNOJ STUDIJI-STUDIJA SLUČAJA DEO B-ZAštita od korozije predmeta od mekog čelika korišćenih u podvodnoj studiji
EP  - 22
IS  - 1
SP  - 15
VL  - 63
DO  - 10.5937/zasmat2201015R
ER  - 
@article{
author = "Rajendran, Dorothy and Sasilatha, Thankappan and Suvakeen Amala Doss Hebciba, Mary and Rajendran, Susai Santhammal and Lačnjevac, Časlav and Singh, Gurmeete",
year = "2022",
abstract = "Buried metal objects in sea water 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.",
publisher = "Engineers Society for Corrosion",
journal = "Materials Protection",
title = "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, DETEKTOVANJE PODVODNIH METALNIH OBJEKATA POMOĆU VEŠTAČKE INTELIGENCIJE I ZAŠTITA OD KOROZIJE PREDMETA OD MEKOG ČELIKA KORIŠĆENIH U PODVODNOJ STUDIJI-STUDIJA SLUČAJA DEO B-ZAštita od korozije predmeta od mekog čelika korišćenih u podvodnoj studiji",
pages = "22-15",
number = "1",
volume = "63",
doi = "10.5937/zasmat2201015R"
}
Rajendran, D., Sasilatha, T., Suvakeen Amala Doss Hebciba, M., Rajendran, S. S., Lačnjevac, Č.,& Singh, G.. (2022). 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. in Materials Protection
Engineers Society for Corrosion., 63(1), 15-22.
https://doi.org/10.5937/zasmat2201015R
Rajendran D, Sasilatha T, Suvakeen Amala Doss Hebciba M, Rajendran SS, Lačnjevac Č, Singh G. 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. in Materials Protection. 2022;63(1):15-22.
doi:10.5937/zasmat2201015R .
Rajendran, Dorothy, Sasilatha, Thankappan, Suvakeen Amala Doss Hebciba, Mary, Rajendran, Susai Santhammal, Lačnjevac, Časlav, Singh, Gurmeete, "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" in Materials Protection, 63, no. 1 (2022):15-22,
https://doi.org/10.5937/zasmat2201015R . .
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