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Processes
Special Issues
Additive Manufacturing of Materials: Process and Applications
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Additive Manufacturing of Materials: Process and Applications

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 4447

Special Issue Editors

Prof. Dr. Yanzhen Zhang

E-Mail Website
Guest Editor
College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao 266580, China
Interests: inkjet printing; additive manufacturing; printed electronics; microfluidics
Special Issues, Collections and Topics in MDPI journals
Dr. Dege Li

E-Mail Website
Guest Editor
School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, 211816, China
Interests: inkjet printing; microfluidics; precision manufacturing

Special Issue Information

Dear Colleagues,

The emergence of additive manufacturing technology has revolutionized the manufacturing sector and the fields it serves. With the deepening of research and the continuous expansion of application requirements, various intelligent additive manufacturing technologies have been developed. Additionally, more and more materials are now applied in the field of additive manufacturing processing, further promoting the advancement of additive manufacturing. So far, additive manufacturing technology can be applied not only to the preparation of rigid parts, but also to prepare various flexible devices, even biological tissues. This Special Issue on “Additive Manufacturing of Materials: Process and Applications” seeks high-quality works focusing on the latest novel advances of additive manufacturing technologies, processes, materials and mechanisms. Topics include, but are not limited to:

  • Metallic material (pure metallic materials, composite metallic materials, high-entropy alloys, etc.) process and applications;
  • Non-metallic material (ceramics, polymers, biomass materials, etc.) process and applications;
  • Mechanism investigations into continuous additive manufacturing, heat and mass transfer;
  • Material dispersion, fusion and solidify mechanisms

Prof. Dr. Yanzhen Zhang
Dr. Dege Li
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. Processes 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 2400 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
  • metallic materials
  • non-metallic materials
  • process and applications
  • mechanism investigation

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Published Papers (2 papers)

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Research

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13 pages, 5632 KiB  
Article
Defect Identification of 316L Stainless Steel in Selective Laser Melting Process Based on Deep Learning
by Wei Yang, Xinji Gan and Jinqian He
Processes 2024, 12(6), 1054; https://doi.org/10.3390/pr12061054 - 22 May 2024
Cited by 1 | Viewed by 1085
Abstract
In additive manufacturing, such as Selective Laser Melting (SLM), identifying fabrication defects poses a significant challenge. Existing identification algorithms often struggle to meet the precision requirements for defect detection. To accurately identify small-scale defects in SLM, this paper proposes a deep learning model [...] Read more.
In additive manufacturing, such as Selective Laser Melting (SLM), identifying fabrication defects poses a significant challenge. Existing identification algorithms often struggle to meet the precision requirements for defect detection. To accurately identify small-scale defects in SLM, this paper proposes a deep learning model based on the original YOLOv5 network architecture for enhanced defect identification. Specifically, we integrate a small target identification layer into the network to improve the recognition of minute anomalies like keyholes. Additionally, a similarity attention module (SimAM) is introduced to enhance the model’s sensitivity to channel and spatial features, facilitating the identification of dense target regions. Furthermore, the SPD-Conv module is employed to reduce information loss within the network and enhance the model’s identification rate. During the testing phase, a set of sample photos is randomly selected to evaluate the efficacy of the proposed model, utilizing training and test sets derived from a pre-existing defect database. The model’s performance in multi-category recognition is measured using the average accuracy metric. Test results demonstrate that the improved YOLOv5 model achieves a mean average precision (mAP) of 89.8%, surpassing the mAP of the original YOLOv5 network by 1.7% and outperforming other identification networks in terms of accuracy. Notably, the improved YOLOv5 model exhibits superior capability in identifying small-sized defects. Full article
(This article belongs to the Special Issue Additive Manufacturing of Materials: Process and Applications)
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Review

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26 pages, 6521 KiB  
Review
Application of Additive Manufacturing in the Automobile Industry: A Mini Review
by Jian Yang, Bo Li, Jian Liu, Zhantong Tu and Xin Wu
Processes 2024, 12(6), 1101; https://doi.org/10.3390/pr12061101 - 27 May 2024
Cited by 3 | Viewed by 2986
Abstract
The automobile industry is recognized as one of the most influential sectors shaping global economies, societies, and individual lifestyles. Therefore, fierce competition among different companies is continuously undergoing, and special attention is focused on innovations to improve competitiveness. In the past several years, [...] Read more.
The automobile industry is recognized as one of the most influential sectors shaping global economies, societies, and individual lifestyles. Therefore, fierce competition among different companies is continuously undergoing, and special attention is focused on innovations to improve competitiveness. In the past several years, additive manufacturing (AM) has emerged as an innovative technology in applications in the automobile industry with significant advantages over traditional techniques. As a result, increasing efforts have been paid to combining AM technology with the development of the automobile industry. Currently, many automobile players are optimizing their industrial layout by incorporating innovative AM techniques, and meanwhile, a lot of research progress has been achieved in order to meet the market demand. This article aims at presenting a timely review to conclude the recent advances in the application of AM techniques in the automobile industry, focusing on the available AM techniques, printable materials, and industry applications, based on which the advantages and disadvantages of each technique and material system are discussed in order to reveal the current application situation. The current research gaps and challenges are also outlined to indicate future research opportunities. Hopefully, this work can be useful to related researchers as well as game players in the industry of this field. Full article
(This article belongs to the Special Issue Additive Manufacturing of Materials: Process and Applications)
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