Laser-Enhanced Wettability Control: Superhydrophilic and Superhydrophobic Surfaces

A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Laser Coatings".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 642

Special Issue Editors


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Guest Editor
College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300453, China
Interests: laser surface modification; surface modification technology of metal materials
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300453, China
Interests: ultrasonic special machining; research and development of special equipment for aerospace
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advancements in laser surface modification have demonstrated significant potential in controlling superhydrophilic and superhydrophobic properties on material surfaces. This technique allows precise control over the micro- and nanoscale structures of surfaces, endowing metallic materials with unique characteristics such as antifouling, anti-icing, corrosion resistance, and antibacterial properties. These advancements can be broadly applied across various fields, including aerospace, medical devices, the automotive industry, and architecture. The combination of laser surface modification with strategic material selection and surface morphology design provides new possibilities for achieving high levels of performance under specific environmental conditions.

This Special Issue aims to explore the latest research progress, mechanistic studies, and practical applications of superhydrophilic and superhydrophobic laser surface modification technologies. We welcome researchers in the field to submit high-quality original research papers, reviews, and technical reports that showcase the development trends of laser-modified surfaces with superhydrophilic and superhydrophobic properties for various applications.

Topics of interest include, but are not limited to, the following:

  • Preparation and mechanistic studies of superhydrophilic and superhydrophobic surfaces using laser modification techniques.
  • Durability, antifouling, and corrosion resistance of laser-modified surfaces.
  • Applications of laser surface modification in anti-icing, antifouling, and antibacterial fields.
  • Design and optimization of multi-scale structural control in laser surface modification.
  • Performance testing and evaluation methods for superhydrophilic and superhydrophobic surfaces under different environments.
  • Computer modeling and simulation to predict the lifetime and reliability of laser-modified surfaces.

Dr. Yan Wang
Dr. Jingnan Zhao
Guest Editors

Manuscript Submission Information

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Keywords

  • superhydrophilic
  • superhydrophobic
  • laser surface modification
  • surface structure control
  • durability
  • antifouling

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Published Papers (1 paper)

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Research

15 pages, 3336 KiB  
Article
Prediction Model for Material Removal Rate of TC4 Titanium Alloy Processed by Vertical Vibratory Finishing
by Kun Shan, Liaoyuan Zhang, Bo Tan, Yashuang Zhang, Wenhui Li, Xiuhong Li and Xuejie Wen
Coatings 2025, 15(3), 286; https://doi.org/10.3390/coatings15030286 - 1 Mar 2025
Viewed by 509
Abstract
To establish a high-precision prediction model for the material removal rate (MRR) of TC4 titanium alloy material in vertical vibratory finishing equipment, an orthogonal experiment was conducted using TC4 titanium alloy plate as the experimental specimen. We performed variance analysis of [...] Read more.
To establish a high-precision prediction model for the material removal rate (MRR) of TC4 titanium alloy material in vertical vibratory finishing equipment, an orthogonal experiment was conducted using TC4 titanium alloy plate as the experimental specimen. We performed variance analysis of the impact of vibration frequency, the phase difference, the mass of upper eccentric block, and the mass of lower eccentric block on the MRR. We then drew the main effect diagram and analyzed the influence of various process parameters on the MRR. Mathematical regression and a neural network were used to construct predictive models for the MRR with respect to process parameters, and a genetic algorithm (GA) was coupled to optimize the neural network to improve the predictive performance of the model. By calculating the R2, validating the set sample prediction error, and averaging the absolute percentage error (MAPE) of each model, it was found that the neural network model had better prediction performance than the mathematical regression model, with an accuracy of 82.2%. After coupling with the GA, the prediction accuracy reached 95.5%. The research results indicated that, compared with mathematical regression and the original neural networks, the neural network coupled with the GA had better predictive performance, providing an effective method for predicting the MRR in vertical vibratory finishing. Full article
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