Modification, Degradation and Evaluation of a Few Organic Coatings for Some Marine Applications

Song, Guang‐Ling; Feng, Zhigang

doi:10.3390/cmd1030019

Cited by 20 publications

(5 citation statements)

References 301 publications

(384 reference statements)

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“…In addition, the aqueous environment may affect the reactivity of the healing agent or active site [14]. Coating thickness for marine applications is usually around 250 µm, which is thicker than conventional coating [116]. The need for coatings for these marine applications reach around USD 4 billion by 2020 and will continue to increase as trade and marine activities grow [117].…”

Section: Self-healing Polymer Application In Underwater Conditionmentioning

confidence: 99%

Self-Healing Polymers Designed for Underwater Applications

Afrinaldi,

Yuliati,

Judawisastra

et al. 2023

Advances in Polymer Technology

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Polymeric materials have been employed in a wide range of applications in both dry and wet environments. When these materials suffer damage, it becomes crucial to initiate repairs in order to mitigate further losses. The use of self-healing materials emerges as a promising strategy not only to address this issue but also possess the advantage of prolonging the product’s lifespan. Nevertheless, the development of self-healing materials tailored for wet environments presents a set of obstacles and complexities. The review examines the current state of research in the field and highlights the challenges associated with developing self-healing materials that can effectively repair damage in such environments. We discuss the self-healing mechanisms and various polymers that are extensively employed in the advancement of self-healing materials. We study the progress made in the research and development of self-healing materials specifically designed for wet environments. Furthermore, it provides a summary of various applications of self-healing materials in wet environments.

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Section: Self-healing Polymer Application In Underwater Conditionmentioning

confidence: 99%

Self-Healing Polymers Designed for Underwater Applications

Afrinaldi,

Yuliati,

Judawisastra

et al. 2023

Advances in Polymer Technology

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“…For example, casted polymeric coatings could lead to uneven thickness, causing stress concentration and, therefore, crack formation [100]. Spray coating, on the other hand, deposits microdroplets, leading to the formation of pinhole defects [53]; therefore, it allows oxygen and chloride ions to attain the metal and consequently accelerate the corrosion process. As compared to these methods, the electrospinning or electrospraying technique is a comprehensive way to deposit a thin polymeric layer on the metallic structures, especially those complex structures.…”

Section: Prospects Of Electrospun Polyurea Films As Anti-corrosive Coatingsmentioning

confidence: 99%

“…MLD, VDP, and spin casting also require expensive equipment and are difficult to apply to large surface areas and irregular geometries [32]. Spray coating, in contrast, deposits microdroplets, leading to the formation of pinhole defects undetectable to the naked eye [53], therefore allowing oxygen and chloride ions to attain the metal and consequently accelerating the corrosion process. On the other hand, electrospinning has been used to coat polymer fibers onto metal surfaces, and it was shown to decrease corrosion greatly due to the high adhesive strength achieved [54][55][56].…”

Section: Introductionmentioning

confidence: 99%

Nonporous, Strong, Stretchable, and Transparent Electrospun Aromatic Polyurea Nanocomposites as Potential Anticorrosion Coating Films

et al. 2021

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This study, for the first time, focused on the fabrication of nonporous polyurea thin films (~200 microns) using the electrospinning method as a novel approach for coating applications. Multi-walled carbon nanotubes (MWCNTs) and hydrophilic-fumed nanosilica (HFNS) were added separately into electrospun polyurea films as nano-reinforcing fillers for the enhancement of properties. Neat polyurea films demonstrated a tensile strength of 14 MPa with an elongation of 360%. At a loading of 0.2% of MWCNTs, the highest tensile strength of 21 MPa and elongation of 402% were obtained, while the water contact angle remained almost unchanged (89°). Surface morphology analysis indicated that the production of polyurea fibers during electrospinning bonded together upon curing, leading to a nonporous film. Neat polyurea exhibited high thermal resistance with a degradation temperature of 380 °C. Upon reinforcement with 0.2% of MWCNTs and 0.4% of HFNS, it increased by ~7 °C. The storage modulus increased by 42 MPa with the addition of 0.2% of MWCNTs, implying a superior viscoelasticity of polyurea nanocomposite films. The results were benchmarked with anti-corrosive polymer coatings from the literature, revealing that the production of nonporous polyurea coatings with robust strength, elasticity, and thermal properties was achieved. Electrospun polyurea coatings are promising candidates as flexible anti-corrosive coatings for heat exchanges and electrical wires.

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“…The occurrence is unfortunately a spontaneous process that is unavoidable and can only be delayed, not prevented. Currently to delay this pipelines and holding tanks use solvent free epoxy liners, thiol monolayers, self-assembled monolayers and biocides to mitigate bacterial attachment and subsequent corrosion (Song and Feng, 2020). Recently, a new class of protective coatings based on 2D materials (e.g., graphene and hexagonal boron nitride) are being developed for MIC prevention applications (Chilkoor et al, 2019(Chilkoor et al, , 2020(Chilkoor et al, , 2021.…”

Section: Introductionmentioning

confidence: 99%

Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion

Allen

Aryal

et al. 2022

Front. Microbiol.

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Protective coatings based on two dimensional materials such as graphene have gained traction for diverse applications. Their impermeability, inertness, excellent bonding with metals, and amenability to functionalization renders them as promising coatings for both abiotic and microbiologically influenced corrosion (MIC). Owing to the success of graphene coatings, the whole family of 2D materials, including hexagonal boron nitride and molybdenum disulphide are being screened to obtain other promising coatings. AI-based data-driven models can accelerate virtual screening of 2D coatings with desirable physical and chemical properties. However, lack of large experimental datasets renders training of classifiers difficult and often results in over-fitting. Generate large datasets for MIC resistance of 2D coatings is both complex and laborious. Deep learning data augmentation methods can alleviate this issue by generating synthetic electrochemical data that resembles the training data classes. Here, we investigated two different deep generative models, namely variation autoencoder (VAE) and generative adversarial network (GAN) for generating synthetic data for expanding small experimental datasets. Our model experimental system included few layered graphene over copper surfaces. The synthetic data generated using GAN displayed a greater neural network system performance (83-85% accuracy) than VAE generated synthetic data (78-80% accuracy). However, VAE data performed better (90% accuracy) than GAN data (84%-85% accuracy) when using XGBoost. Finally, we show that synthetic data based on VAE and GAN models can drive machine learning models for developing MIC resistant 2D coatings.

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Modification, Degradation and Evaluation of a Few Organic Coatings for Some Marine Applications

Cited by 20 publications

References 301 publications

Self-Healing Polymers Designed for Underwater Applications

Self-Healing Polymers Designed for Underwater Applications

Nonporous, Strong, Stretchable, and Transparent Electrospun Aromatic Polyurea Nanocomposites as Potential Anticorrosion Coating Films

Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion

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