Advances in 3D Printing Technologies: Materials, Processes, and Applications, 2nd Edition

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: 30 June 2026 | Viewed by 633

Special Issue Editors


E-Mail Website
Guest Editor
1. Faculty of Engineering and Information Technology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, Nicolae Iorga Street 1, 540088 Târgu Mureș, Romania
2. Interdisciplinary Biomedical Research Center, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, Nicolae Iorga Street 1, 540088 Târgu Mureș, Romania
Interests: management; innovation; healthcare; rehabilitation; quality management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to submit your research for this Special Issue of Machines, published by MDPI, titled “Advances in 3D Printing Technologies: Materials, Processes, and Applications, 2nd Edition” This Special Issue aims to explore the latest developments in 3D printing, addressing the growing demand for innovative, efficient, and sustainable solutions across various industries. 

Recent advancements in materials, such as biocompatible polymers, high-performance composites, and sustainable alternatives, are expanding the capabilities of 3D printing technologies. Furthermore, emerging applications in healthcare, aerospace, automotive, and beyond are driving the development of cutting-edge processes, including hybrid methods and precision manufacturing. IoT-enabled monitoring and AI-driven design optimization are further revolutionizing the landscape, enabling smarter, adaptive, and more efficient additive manufacturing workflows. Despite these innovations, challenges remain in areas like scalability, process optimization, and material behavior under unique stress states, necessitating continued research. 

For this Special Issue, we welcome submissions showcasing novel materials, process innovations, and real-world applications. Contributions should include experimental, computational, or theoretical approaches to enhance understanding and implementation of 3D printing, with a focus on integrating IoT and AI to further advance the field. 

We encourage you to submit your work in these research areas:

- Development of advanced materials for 3D printing;

- Hybrid and non-traditional printing techniques; 

- IoT-enabled monitoring and control in 3D printing;

- Precision, scalability, and optimization in additive manufacturing;

- Sustainable materials and processes;

- Applications in healthcare, aerospace, and automotive industries;

- Characterization and modeling of printed materials;

- Multi-material and multi-scale printing;

- Quality assurance and defect analysis;

- Process monitoring, data-driven methods, and Industry 4.0 integration. 

You may choose our Joint Special Issue in JMMP.

Dr. Cristina Veres
Dr. Maria Tanase
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 250 words) can be sent to the Editorial Office for assessment.

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. Machines 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

  • 3D printing technologies
  • additive manufacturing
  • advanced materials
  • process optimization
  • hybrid printing methods
  • sustainable manufacturing
  • biocompatible polymers
  • high-performance composites
  • multi-material printing
  • IoT integration AI in additive manufacturing
  • Industry 4.0 integration

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.

Related Special Issue

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 2237 KB  
Article
Electric Contact Resistance of 3D-Printed Al5086 Aluminum
by Martin Ralchev, Valentin Mateev and Iliana Marinova
Machines 2026, 14(4), 400; https://doi.org/10.3390/machines14040400 - 6 Apr 2026
Viewed by 370
Abstract
Additive manufacturing by Selective Laser Melting (SLM) or, precisely, Laser Powder Bed Fusion (L-PBF), offers new opportunities for producing electrically functional metal components with tailored geometric designs and material properties. In this study, the electrical contact resistance and related properties of 3D-printed samples [...] Read more.
Additive manufacturing by Selective Laser Melting (SLM) or, precisely, Laser Powder Bed Fusion (L-PBF), offers new opportunities for producing electrically functional metal components with tailored geometric designs and material properties. In this study, the electrical contact resistance and related properties of 3D-printed samples made from Al5086 aluminum alloy are tested. The benefits of Al5086 include flexibility without cracking, welding ability and exceptional resistance to corrosion in saltwater and industrial environments. This makes it an excellent candidate for power electric applications due to its good electrical conductivity and corrosion resistance. In this study, an analysis is performed to assess the impact of internal volumetric properties and surface parameters on general contact resistance performance. This analysis combines advanced testing procedures and parameter identification of the electric contact resistance model. This study investigates how these parameters affect contact resistance, which is a critical factor in the reliability of electrical devices. Electrical contact resistance was measured using a dedicated test setup that applied consistent pressure and maintained directional alignment. The results show that the printing direction of the samples slightly affects resistance values due to the continuity of current paths along the build direction, likely due to homogenous inter-layer boundaries and mechanical stress distribution. These findings suggest that both print orientation and internal structure must be considered when designing 3D-printed contact elements for electrical applications. Overall, this study demonstrates the feasibility of using L-PBF-fabricated aluminum components in electric applications where both electrical and structural performances are essential. Full article
Show Figures

Figure 1

Back to TopTop