Development and Application of Anti/De-Icing Surfaces and Coatings

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

Deadline for manuscript submissions: 15 November 2025 | Viewed by 880

Special Issue Editors


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Guest Editor
1. Liaoning Provincial Key Laboratory of Aircraft Ice Protection, AVIC Aerodynamics Research Institute, Shenyang 110034, China
2. Liyang Aerodynamics Innovation Institute, Liyang 213300, China
Interests: aircraft anti/de-icing technology; superhydrophobic surface; numerical simulation

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Guest Editor
1.College of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Deyang, China
2. Key Laboratory of Icing and Anti/De-icing, China Aerodynamics Research and Development Center, Mianyang, China
Interests: superhydrophobic surface; aircraft anti/de-icing technology; environmental durability
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
Interests: special wettability functional coatings; corrosion and protection; anti/de-icing coating; corrosion life prediction
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Materials Science and Engineering, Shenyang Ligong University, Shenyang 110159, China
Interests: special wettability functional coatings; corrosion and protection; anti/de-icing coating; corrosion life prediction

Special Issue Information

Dear Colleagues,

Recent theoretical and experimental advancements in the development of anti-icing and de-icing multifunctional surfaces have emerged as a critical focus for research within the fields of material science and engineering. Driven by the need for durability and reliability in extreme environmental conditions, their application spans across various industries, including aerospace, transportation, energy, and medical sectors.

The understanding of ice formation mechanisms, the need to maintain structural integrity and reliability under harsh conditions, and the pursuit of durable coating systems have led to a surge in experimental, theoretical, and modeling activities in this area.

The manufacture, design, and testing of high-performance anti/de-icing functional surfaces provide multifunctional coatings with unprecedented functionality and the opportunity to protect surfaces from ice accretion.

This Special Issue will serve as a platform for papers exploring the following themes:

  • New ideas for the design of superhydrophobic surface structures;
  • Various production processes of coatings;
  • Research on the anti/de-icing mechanism of coatings;
  • Verification of the anti-icing test on superhydrophobic surfaces;
  • Verification of the de-icing test on low adhesion surfaces;
  • Various applications of anti/de-icing coatings;
  • The durability and maintainability of anti/de-icing coatings;
  • An active anti/de-icing method combined with coatings;
  • Multi-scale numerical simulation on anti/de-icing surfaces.

Dr. Huanyu Zhao
Prof. Dr. Qiang He
Prof. Dr. Dong-Dong Han
Dr. Yulin Cheng
Guest Editors

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

  • anti/de-icing coatings
  • superhydrophobic surface
  • ice adhesion strength
  • reliable coatings
  • experimental verification

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Published Papers (1 paper)

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Research

26 pages, 10653 KiB  
Article
Fatigue Predictive Modeling of Composite Materials for Wind Turbine Blades Using Explainable Gradient Boosting Models
by Yaren Aydın, Celal Cakiroglu, Gebrail Bekdaş and Zong Woo Geem
Coatings 2025, 15(3), 325; https://doi.org/10.3390/coatings15030325 - 11 Mar 2025
Viewed by 611
Abstract
Wind turbine blades are subjected to cyclic loading conditions throughout their operational lifetime, making fatigue a critical factor in their design. Accurate prediction of the fatigue performance of wind turbine blades is important for optimizing their design and extending the operational lifespan of [...] Read more.
Wind turbine blades are subjected to cyclic loading conditions throughout their operational lifetime, making fatigue a critical factor in their design. Accurate prediction of the fatigue performance of wind turbine blades is important for optimizing their design and extending the operational lifespan of wind energy systems. This study aims to develop predictive models of laminated composite fatigue life based on experimental results published by Montana State University, Bozeman, Composite Material Technologies Research Group. The models have been trained on a dataset consisting of 855 data points. Each data point consists of the stacking sequence, fiber volume fraction, stress amplitude, loading frequency, laminate thickness, and the number of cycles of a fatigue test carried out on a laminated composite specimen. The output feature of the dataset is the number of cycles, which indicates the fatigue life of a specimen. Random forest (RF), extreme gradient boosting (XGBoost), categorical boosting (CatBoost), light gradient boosting machine (LightGBM), and extra trees regressor models have been trained to predict the fatigue life of the specimens. For optimum performance, the hyperparameters of these models were optimized using GridSearchCV optimization. The total number of cycles to failure could be predicted with a coefficient of determination greater than 0.9. A feature importance analysis was carried out using the SHapley Additive exPlanations (SHAP) approach. LightGBM showed the highest performance among the models (R2 = 0.9054, RMSE = 1.3668, and MSE = 1.8682). Full article
(This article belongs to the Special Issue Development and Application of Anti/De-Icing Surfaces and Coatings)
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