A study on corrosion resistant graphene films on low alloy steel

Pavan, A. S. Sai; Ramanan, Sutapa Roy

doi:10.1007/s13204-016-0530-2

Cited by 38 publications

(14 citation statements)

References 24 publications

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“…In our earlier study [2], the graphene nanosheets coated copper exhibited a very less negative E corr value (−211.0 mV) in comparison to bare copper (−691.4 mV), and I corr value of 4.0 µA/cm 2 in comparison to bare copper (38.25 µA/cm 2 ) in 3.5% NaCl. In another study, Sai et al [53] reported 91% corrosion inhibition efficiency by dip-coated rGO on mild steel when tested in 3.5% NaCl. However, such improvement in corrosion inhibition efficiency was achieved on samples coated for three times by dip coating, because a single dip-coating produced incomplete coverage of the surface.…”

Section: Discussionmentioning

confidence: 96%

Graphene Coating on Copper by Electrophoretic Deposition for Corrosion Prevention

et al. 2017

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Abstract:In this paper, we report the use of a simple and inexpensive electrophoretic deposition (EPD) technique to develop thin, uniform, and transparent graphene oxide (GO) coating on copper (Cu) substrate on application of 10 V for 1 s from an aqueous suspension containing 0.03 wt % graphene oxide. GO was partially reduced during the EPD process itself. The GO coated on Cu was completely reduced chemically by using sodium borohydride (NaBH 4 ) solution. The coatings were characterized by field emission scanning electron microscope (FESEM), Raman spectroscopy, Fourier-transform infrared spectroscopy (FTIR), XRD, and UV/VIS spectrophotometry. Corrosion resistance of the coatings was evaluated by electrochemical measurements under accelerated corrosion condition in 3.5 wt % NaCl solution. The GO coated on Cu and chemically reduced by NaBH 4 showed more positive corrosion potential (E corr ) (−145.4 mV) compared to GO coated on Cu (−182.2 mV) and bare Cu (−235.3 mV), and much lower corrosion current (I corr ) (7.01 µA/cm 2 ) when compared to 15.375 µA/cm 2 for bare Cu indicating that reduced GO film on copper exhibit enhanced corrosion resistance. The corrosion inhibition efficiency of chemically reduced GO coated Cu was 54.40%, and its corrosion rate was 0.08 mm/year as compared to 0.18 mm/year for bare copper.

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Section: Discussionmentioning

confidence: 96%

Graphene Coating on Copper by Electrophoretic Deposition for Corrosion Prevention

et al. 2017

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Section: Marine Environmentmentioning

confidence: 99%

“…In fact, most corrosion research surrounding 2D materials has been carried out in simulated seawater containing 3.5 wt% of NaCl, which mimics a marine environment. For example, a layered graphene coating on mild steel has been shown to reduce the corrosion rate due to its barrier effect in seawater ( Figure 2) [57]. Optical microscopic image of (a) bare mild steel and (b) graphene-coated mild steel after corrosion test in 3.5 wt% NaCl for 1 h. Bare mild steel corrodes severely compared to graphene-coated mild steel in simulated seawater.…”

Section: Marine Environmentmentioning

confidence: 99%

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Ångström-Scale, Atomically Thin 2D Materials for Corrosion Mitigation and Passivation

et al. 2019

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Metal deterioration via corrosion is a ubiquitous and persistent problem. Ångstrom-scale, atomically thin 2D materials are promising candidates for effective, robust, and economical corrosion passivation coatings due to their ultimate thinness and excellent mechanical and electrical properties. This review focuses on elucidating the mechanism of 2D materials in corrosion mitigation and passivation related to their physicochemical properties and variations, such as defects, out-of-plane deformations, interfacial states, temporal and thickness variations, etc. In addition, this review discusses recent progress and developments of 2D material coatings for corrosion mitigation and passivation as well as the significant challenges to overcome in the future.

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“…Mild steel coupons were coated from the synthesized graphene solution. Three layers of graphene films were able to reduce the corrosion rate by 99 % [11].…”

Section: Prospect Of Pipelines Defence From Corrosion With the Help Omentioning

confidence: 99%

Big Data Approach Application for Steel Pipelines in the Conditions of Corrosion Fatigue

Skrynkovskyy¹,

Law²,

Yuzevych³

et al. 2018

JES

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This paper presents results of the use of Big Data approach and neural network for the pipelines diagnosis problem. In this case the pipeline is in the conditions of crack growth of corrosion fatigue and exposed to hydrogen. It is proposed to use graphene protective coatings. The mathematical model for estimating the changes in the effective surface energy of WPL during plastic deformation, electrochemical overstrain, polarization potential and current density of the metal dissolution reaction at the top of the crack on the pipeline surface during its mechanical loading in an aqueous electrolyte solution is given. The dissolution of the metal is considered on the juvenile surface, taking into account the anode and cathode regions based on the approaches of surface physics and electrochemistry. An element of a mathematical model is a quality functional, taking into account information flows and a sensitivity coefficient. Functional quality is used to specify the feedback between the investment project methodology and risk estimates, as well as to optimize the information flows of enterprises and improve the system of protection of metallic underground pipelines that operate under conditions of corrosion fatigue. The purpose of this project is to improve the relevant regulatory and technical documents as well as software.

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A study on corrosion resistant graphene films on low alloy steel

Cited by 38 publications

References 24 publications

Graphene Coating on Copper by Electrophoretic Deposition for Corrosion Prevention

Graphene Coating on Copper by Electrophoretic Deposition for Corrosion Prevention

Ångström-Scale, Atomically Thin 2D Materials for Corrosion Mitigation and Passivation

Big Data Approach Application for Steel Pipelines in the Conditions of Corrosion Fatigue

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