Smart and Sustainable Additive Manufacturing: Emerging Technologies and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Additive Manufacturing Technologies".
Deadline for manuscript submissions: 20 August 2026 | Viewed by 2338
Special Issue Editors
Interests: Industry 4.0; SME; IoT; neural networks; sustainability; ERP
Interests: data acquisition; digital twins; identification technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Emerging technologies, advanced automation, and the integration of intelligent systems are driving a profound transformation in the field of additive manufacturing (AM) and related production paradigms. This dynamic evolution opens up new challenges and opportunities in the development of next-generation manufacturing architectures, smart systems, and sustainable production strategies. Therefore, this Special Issue is dedicated to the dissemination of innovative ideas, research breakthroughs, and experimental results in the rapidly developing landscape of emerging additive manufacturing technologies.
This Special Issue will publish high-quality, original research papers in the following overlapping fields:
- Emerging additive manufacturing processes and advanced 3D printing technologies;
- Rapid prototyping and high-volume production strategies;
- Application of artificial intelligence (AI), neural networks, and machine learning (ML) in manufacturing;
- Integration of virtual reality (VR) and augmented reality (AR) for manufacturing design, simulation, and human–robot interaction;
- Digital Twin technologies for modeling, monitoring, and optimizing additive manufacturing systems;
- Internet of Things (IoT) and Industrial Internet of Things (IIoT) applications in intelligent production environments;
- Robotics and automation for smart, autonomous, and adaptive manufacturing;
- Sustainable and decentralized production systems, including circular economy principles in manufacturing;
- Advanced material development and their applications in additive manufacturing;
- Smart manufacturing systems in the context of Industry 4.0 and Industry 5.0;
- Cyber-physical systems and human-centric production technologies;
- Innovative manufacturing system architectures, control strategies, and production planning;
- Case studies, industrial implementations, and real-world applications of emerging additive manufacturing technologies.
Dr. Angelina Iakovets
Dr. Kamil Židek
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. Applied Sciences is an international peer-reviewed open access semimonthly 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
- emerging technologies
- Virtual Reality (VR)
- Artificial Reality (AR)
- neural networks
- Artificial Intelligence (AI)
- rapid prototyping
- high-volume production
- Internet of Things (IoT)
- Industrial Internet of Things (IIoT)
- manufacturing systems
- digital twin
- automation
- robots
- sustainability
- decentralized production
- advanced 3D printers
- smart systems
- Industry 4.0
- Industry 5.0
- advanced materials
- 3D printing
- additive manufacturing
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