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Recent Progress on Functional Films and Surface Science

Special Issue Editors
Special Issue Information
Keywords
Published Papers

A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Functional Polymer Coatings and Films".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 2603

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Special Issue Editors

Prof. Dr. Hongbin Lu

E-Mail Website1 Website2
Guest Editor

School of Chemistry and Chemical Engineering, Nantong University, Nantong, China
Interests: anticorrosive coating; epoxy; acrylic; corrosion mechanisms; self-healing; Ti3C2Tx; stainless steel; proton exchange membrane fuel cell (PEMFC)
Special Issues, Collections and Topics in MDPI journals

Dr. Duan Bin

E-Mail Website
Guest Editor

School of Chemistry and Chemical Engineering, Nantong University, Nantong, China
Interests: electrocatalysts; water splitting; electrode materials; aqueous rechargeable batteries; nanoparticles; layered materials; intercalation; guest spices
Special Issues, Collections and Topics in MDPI journals

Dr. Li Jiang

E-Mail Website
Guest Editor Assistant

School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215009, China
Interests: corrosion protection for metals; functional coatings; nanomaterials; metallic glasses

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit your works to a Special Issue on “Recent Progress on Functional Films and Surface Science”.

Surface coating is an effective strategy for modifying substrates to meet usage needs. In recent years, with the rapid development of energy saving, energy storage, electronic devices, healthcare, aerospace, and other fields, traditional coatings can no longer meet the demand, which promotes the development of functional coatings. Functional coatings with protection, heat insulation, cooling, conductivity, antibiosis, heat resistance, electromagnetic shielding, and other functions have been developed for different applications.

This Special Issue aims to provide a platform for researchers to publish their recent research efforts on functional coatings, including research on the preparation methods, structure characterization, properties, and performance analysis of functional coatings, whether theoretical or experimental. In this Special Issue, original papers or reviews on functional coatings are welcome. Topics of interest include, but are not limited to:

Anticorrosive coatings;
Heat insulating or conducting coatings;
Electronic or ionic conducting coatings;
Passive cooling coatings;
Electromagnetic shielding coatings;
Antimicrobial coatings;
Heat-resistant coatings;
Photothermal coatings;
Hydrophobic and oleophobic coatings;
Smart coatings.

Prof. Dr. Hongbin Lu
Dr. Duan Bin
Guest Editors

Dr. Li Jiang
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Coatings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

anticorrosive coatings
heat insulating or conducting coatings
electronic or ionic conducting coatings
passive cooling coatings
electromagnetic shielding coatings
antimicrobial coatings
heat-resistant coatings
photothermal coatings
hydrophobic and oleophobic coatings
smart coatings

Published Papers (3 papers)

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Research

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16 pages, 7162 KiB

Open AccessArticle

A Comprehensive Assessment of Al-Si Coating Growth at Various Heating Rates, Soaking Temperatures, and Times

by Siyu Wu, Alexander Bardelcik, Constantin Chiriac and Cangji Shi

Coatings 2024, 14(4), 399; https://doi.org/10.3390/coatings14040399 - 28 Mar 2024

Viewed by 523

Abstract

In conventional hot stamping, an Al-Si-coated blank is first heated above the austenitization temperature and then soaked for a period of time within a furnace, prior to the stamping operation. In this work, the impacts of furnace heating rate, soaking temperature, and soaking [...] Read more.

m^{2}

. These heat treatment parameters during heating and soaking affect the coating microstructure and the thickness of the interdiffusion layer, which affect the properties of the as-formed coatings. The transformation and growth of binary Fe-Al and ternary Fe-Al-Si intermetallic layers were characterized and quantified for soak times up to 240 s. The results show that the effect of the heating rate on the Al-Si intermetallic distribution and ternary phase morphology was more severe than the soaking time and soaking temperature. The

{F e}_{2} {A l}_{5}

(η) phase was the dominant layer at the beginning of the soaking stage with a

{F e}_{3} {A l}_{2} {S i}_{3}

(

τ_{1}

) layer formed within it, and then the

{F e}_{3} {A l}_{2} {S i}_{3}

layer transformed into

F e A l

(

β_{2})

as the soaking time increased due to the interdiffusion of Fe and Al. The transformation of

{F e}_{3} {A l}_{2} {S i}_{3}

F e A l

occurred at a higher rate for elevated soaking temperatures due to the greater diffusivity of Al and Fe. The interdiffusion layer (IDL) consisted of

F e A l {, F e}_{3} A l

(

β_{1})

and

α - F e

. Higher soaking temperatures of 1000 °C resulted in a thicker IDL for the same soak time when compared with 900 °C and 950 °C, but when the heating rate was lower, the IDL was thicker than that at the higher heating rate since a longer heating time was required to reach the soaking temperature of 900 °C, which prolonged the diffusion time during the heating stage. The findings were similar for AS80. Full article

(This article belongs to the Special Issue Recent Progress on Functional Films and Surface Science)

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23 pages, 6027 KiB

Open AccessArticle

An Image Classification Method of Unbalanced Ship Coating Defects Based on DCCVAE-ACWGAN-GP

by Henan Bu, Teng Yang, Changzhou Hu, Xianpeng Zhu, Zikang Ge and Honggen Zhou

Coatings 2024, 14(3), 288; https://doi.org/10.3390/coatings14030288 - 27 Feb 2024

Cited by 1 | Viewed by 874

Abstract

Affected by the improper operation of the workers, environmental changes during drying and curing or the quality of the paint itself, diverse defects are produced during the process of ship painting. The traditional defect recognition method relies on expert knowledge or experience to detect defects, which is not conducive to ensuring the effectiveness of defect recognition. Therefore, this paper proposes an image generation and recognition model which is suitable for small samples. Based on a deep convolutional neural network (DCNN), the model combines a conditional variational autoencoder (DCCVAE) and auxiliary conditional Wasserstein GAN with gradient penalty (ACWGAN-GP) to gradually expand and generate various coating defect images for solving the overfitting problem due to unbalanced data. The DCNN model is trained based on newly generated image data and original image data so as to build a coating defect image classification model suitable for small samples, which is conducive to improving classification performance. The experimental results showed that our proposed model can achieve up to 92.54% accuracy, an F-score of 88.33%, and a G mean value of 91.93%. Compared with traditional data enhancement methods and classification algorithms, our proposed model can identify various defects in the ship painting process more accurately and consistently, which can provide effective theoretical and technical support for ship painting defect detection and has significant engineering research value and application prospects. Full article

(This article belongs to the Special Issue Recent Progress on Functional Films and Surface Science)

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Review

Jump to: Research

42 pages, 10483 KiB

Open AccessReview

A Comprehensive Review of Cathodic Arc Evaporation Physical Vapour Deposition (CAE-PVD) Coatings for Enhanced Tribological Performance

by Musa Muhammed, Mousa Javidani, Tahere Ebrahimi Sadrabadi, Majid Heidari, Tom Levasseur and Mohammad Jahazi

Coatings 2024, 14(3), 246; https://doi.org/10.3390/coatings14030246 - 20 Feb 2024

Cited by 1 | Viewed by 949

Abstract

In the realm of industries focused on tribology, such as the machining industry, among others, the primary objective has been tribological performance enhancement, given its substantial impact on production cost. Amid the variety of tribological enhancement techniques, cathodic arc evaporation physical vapour deposition (CAE-PVD) coatings have emerged as a promising solution offering both tribological performance enhancement and cost-effectiveness. This review article aims to systematically present the subject of CAE-PVD coatings in light of the tribological performance enhancement. It commences with a comprehensive discussion on substrate preparation, emphasizing the significant effect of substrate roughness on the coating properties and the ensuing tribological performance. The literature analysis conducted revealed that optimum tribological performance could be achieved with an average roughness (R_a) of 0.1 µm. Subsequently, the article explores the CAE-PVD process and the coating’s microstructural evolution with emphasis on advances in macroparticles (MPs) formation and reduction. Further discussions are provided on the characterization of the coatings’ microstructural, mechanical, electrochemical and tribological properties. Most importantly, crucial analytical discussions highlighting the impact of deposition parameters namely: arc current, temperature and substrate bias on the coating properties are also provided. The examination of the analyzed literature revealed that the optimum tribological performance can be attained with a 70 to 100 A arc current, a substrate bias ranging from −100 to −200 V and a deposition temperature exceeding 300 °C. The article further explores advancements in coating doping, monolayer and multilayer coating architectures of CAE-PVD coatings. Finally, invaluable recommendations for future exploration by prospective researchers to further enrich the field of study are also provided. Full article

(This article belongs to the Special Issue Recent Progress on Functional Films and Surface Science)

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