Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.4
2.8
Journals
Coatings
Special Issues
Technologies and Processes That Involve Surface Interaction or Successive Coating...
share announcement

Technologies and Processes That Involve Surface Interaction or Successive Coating Processes for Additive Manufacturing

A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Surface Characterization, Deposition and Modification".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 414

Special Issue Editors

Dr. Erika García-López

E-Mail Website
Guest Editor
Mechanical and Advanced Materials Department, Tecnologico de Monterrey, Monterrey 64700, Mexico
Interests: micromanufacturing; additive manufacturing; laser processing; magnesium; surface engineering; medical devices
Dr. Elisa Virginia Vázquez-Lepe

E-Mail Website
Guest Editor
Mechanical and Advanced Materials Department, Tecnologico de Monterrey, Monterrey 64700, Mexico
Interests: advanced manufacturing technologies; micromanufacturing; micro injection molding; additive manufacturing

Special Issue Information

Dear Colleagues,

The application of additive manufacturing to advanced materials has a central role in addressing innovation by enabling the creation of materials and the customizable additive manufacturing (AM) methods to transform them. AM is driving the fabrication of complex and high-performance structures across industries and recent advances have emerged in aerospace, automotive, biomedical, and marine applications driven by the current state of knowledge of materials, design, manufacture modeling, and metrology. Accordingly, we launch this new Special Issue of Coatings that will collect original research articles. Contributions will focus on advanced materials in additive manufacturing processing, emphasizing their potential applications. The scope of this Special Issue is to serve as a forum for contributions on the following topics:

  • Functional gradient materials used in AM applications studying interfacial properties;
  • Metal additive manufacturing for lightweight structures, high-strength alloys, and corrosion-resistant materials;
  • Biodegradable and biocompatible polymers, electrically conductive polymers, and composites applying surface science;
  • Bio-inspired and biomimetic materials using multi-material additive manufacturing or gradient structures and their functional properties;
  • Lattice and cellular structures for energy absorption or thermal control;
  • Additive manufacturing with smart materials for adaptive structures;
  • Nano-enhanced materials with enhanced mechanical, electrical, or thermal properties;
  • Coating methods applied to items manufactured additively.

We look forward to receiving your contributions.

Dr. Erika García-López
Dr. Elisa Virginia Vázquez-Lepe
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

  • additive manufacturing
  • advanced materials
  • smart materials
  • functional gradient materials
  • lattice structures

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 3974 KB  
Article
Optimizing FDM Printing Parameters via Orthogonal Experiments and Neural Networks for Enhanced Dimensional Accuracy and Efficiency
by Jinxing Wu, Yi Zhang, Wenhao Hu, Changcheng Wu, Zuode Yang and Guangyi Duan
Coatings 2025, 15(10), 1117; https://doi.org/10.3390/coatings15101117 - 24 Sep 2025
Viewed by 111
Abstract
Optimizing printing parameters is crucial for enhancing the efficiency, surface quality, and dimensional accuracy of Fused Deposition Modeling (FDM) processes. A review of numerous publications reveals that most scholars analyze factors such as nozzle diameter and printing speed, while few investigate the impact [...] Read more.
Optimizing printing parameters is crucial for enhancing the efficiency, surface quality, and dimensional accuracy of Fused Deposition Modeling (FDM) processes. A review of numerous publications reveals that most scholars analyze factors such as nozzle diameter and printing speed, while few investigate the impact of layer thickness, infill density, and shell layer count on print quality. Therefore, this study employed 3D slicing software to process the three-dimensional model and design printing process parameters. It systematically investigated the effects of layer thickness, infill density, and number of shells on printing time and geometric accuracy, quantifying the evaluation through volumetric error. Using an ABS connecting rod model, optimal parameters were determined within the defined range through orthogonal experimental design and signal-to-noise ratio (S/N) analysis. Subsequently, a backpropagation (BP) neural network was constructed to establish a predictive model for process optimization. Results indicate that parameter selection significantly impacts print duration and surface quality. Validation confirmed that the combination of 0.1 mm layer thickness, 40% infill density, and 5-layer shell configuration achieves the highest dimensional accuracy (minimum volumetric error and S/N value). Under this configuration, the volumetric error rate was 3.062%, with an S/N value of −9.719. Compared to other parameter combinations, this setup significantly reduced volumetric error, enhanced surface texture, and improved overall print precision. Statistical analysis indicates that the BP neural network model achieves a Mean Absolute Percentage Error (MAPE) of no more than 5.41% for volume error rate prediction and a MAPE of 5.58% for signal-to-noise ratio prediction. This validates the model’s high-precision predictive capability, with the established prediction model providing effective data support for FDM parameter optimization. Full article
(This article belongs to the Special Issue Technologies and Processes That Involve Surface Interaction or Successive Coating Processes for Additive Manufacturing)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop