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Coatings
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Recent Advances in Additive Manufacturing Techniques
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Recent Advances in Additive Manufacturing Techniques

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

Deadline for manuscript submissions: 20 July 2024 | Viewed by 2206

Special Issue Editor

Dr. Xuewei Fang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Xi'an Jiaotong University (XJTU), Xi’an 710049, China
Interests: additive manufacturing of metallic materials; CFD and FEM of molten pool and mechanical property; online monitoring of AM processes

Special Issue Information

Dear Colleagues,

As one of the most revolutionary technologies in the manufacturing industry, additive manufacturing (AM) has been developing at a rapid pace and attracting surging attention. Additive manufacturing is a new technology that integrates advanced manufacturing, intelligent manufacturing, green manufacturing, new materials, and precision control. It has blazed a trail for the whole industry's technological innovation. Therefore, this Special Issue aims to provide a platform for researchers in this area to publish their novel findings covering recent key developments and innovations in additive manufacturing techniques.

We welcome the submissions of original research papers or reviews that focus on additive manufacturing from multiple materials, methodologies, and applications perspectives. Topics can include but are not limited to:

  • Optimized modeling and topology optimization for additive manufacturing;
  • Innovative materials for additive manufacturing;
  • Recent applications of additive manufacturing technologies in diverse areas (including aerospace, energy, biology, robotics, and so on);
  • Advanced additive manufacturing technologies；
  • Microstructure and mechanical properties of additive manufacturing materials;
  • In-situ monitoring/ closed-loop control of additive manufacturing processes.

We look forward to receiving your contributions.

Dr. Xuewei Fang
Guest Editor

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.

Published Papers (2 papers)

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Research

15 pages, 3407 KiB  
Article
Automatic Defect Detection of Jet Engine Turbine and Compressor Blade Surface Coatings Using a Deep Learning-Based Algorithm
by Md Hasib Zubayer, Chaoqun Zhang, Wen Liu, Yafei Wang and Haque Md Imdadul
Coatings 2024, 14(4), 501; https://doi.org/10.3390/coatings14040501 - 18 Apr 2024
Viewed by 438
Abstract
The application of additive manufacturing (AM) in the aerospace industry has led to the production of very complex parts like jet engine components, including turbine and compressor blades, that are difficult to manufacture using any other conventional manufacturing process but can be manufactured [...] Read more.
The application of additive manufacturing (AM) in the aerospace industry has led to the production of very complex parts like jet engine components, including turbine and compressor blades, that are difficult to manufacture using any other conventional manufacturing process but can be manufactured using the AM process. However, defects like nicks, surface irregularities, and edge imperfections can arise during the production process, potentivally affecting the operational integrity and safety of jet engines. Aiming at the problems of poor accuracy and below-standard efficiency in existing methodologies, this study introduces a deep learning approach using the You Only Look Once version 8 (YOLOv8) algorithm to detect surface, nick, and edge defects on jet engine turbine and compressor blades. The proposed method achieves high accuracy and speed, making it a practical solution for detecting surface defects in AM turbine and compressor blade specimens, particularly in the context of quality control and surface treatment processes in AM. The experimental findings confirmed that, in comparison to earlier automatic defect recognition procedures, the YOLOv8 model effectively detected nicks, edge defects, and surface defects in the turbine and compressor blade dataset, attaining an elevated level of accuracy in defect detection, reaching up to 99.5% in just 280 s. Full article
(This article belongs to the Special Issue Recent Advances in Additive Manufacturing Techniques)
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13 pages, 5131 KiB  
Article
Heat Treatment Optimization of 2219 Aluminum Alloy Fabricated by Wire-Arc Additive Manufacturing
by Jiannan Yang, Yunqiang Ni, Hui Li, Xuewei Fang and Bingheng Lu
Coatings 2023, 13(3), 610; https://doi.org/10.3390/coatings13030610 - 13 Mar 2023
Cited by 3 | Viewed by 1507
Abstract
Wire-arc additive manufacturing has generated significant interest in the aerospace industry for the fabrication of large aluminum alloy components such as alloy 2219 (Al-6.3Cu). However, its application is limited by the low strength of the deposited parts. In this study, the effect of [...] Read more.
Wire-arc additive manufacturing has generated significant interest in the aerospace industry for the fabrication of large aluminum alloy components such as alloy 2219 (Al-6.3Cu). However, its application is limited by the low strength of the deposited parts. In this study, the effect of heat-treatment parameters, including solution temperature, solution time, aging temperature, and aging time, on the mechanical properties was optimized by using the Taguchi method. The results show that the solution temperature is the most influential factor on ultimate tensile strength and yielding strength, while the aging time had the most significant effect on elongation. Thereafter, the best control factor for the maximum response variable was obtained. Microhardness and strength properties were greatly improved after optimized T6 heat treatment. The strengthening mechanism of this additively fabricated Al-6.3Cu alloy was investigated by microstructural analysis. Full article
(This article belongs to the Special Issue Recent Advances in Additive Manufacturing Techniques)
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