Additive Manufacturing Processes: Modeling, Monitoring, Anomaly Detection and Control
A Special Issue of Processes (ISSN 2227-9717) belonging to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 783
Editors
Interests: additive manufacturing; metal droplet deposition manufacturing; monitoring and control systems; artificial intelligence; numerical simulation
Interests: additive manufacturing; laser processing; intelligent monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Additive Manufacturing (AM) is a transformative advanced manufacturing technology, featuring high design freedom, material efficiency, and personalized fabrication capability. It has become a key driving force for technological upgrading in aerospace, biomedical devices, energy, and other strategic high-end industries, and plays a vital role in promoting the digital and intelligent transformation of modern manufacturing. However, AM involves complex multi-physics coupling and dynamic thermal-mechanical evolution, with obvious instability and randomness in the forming process. Problems such as internal defects, dimensional deviation, and performance inconsistency often occur, which seriously restrict its large-scale and high-reliability application. To tackle these bottlenecks, precise modeling, in situ monitoring, intelligent anomaly detection, and closed-loop control of AM processes are urgently needed.
This Special Issue on “Additive Manufacturing Processes: Modeling, Monitoring, Anomaly Detection and Control” seeks high-quality works focusing on modeling, monitoring and control of AM processes. Topics include, but are not limited to, the following:
- Mechanism-based and data-driven modeling of AM processes;
- Sensing systems and data processing algorithms for AM process monitoring and anomaly detection;
- Closed-loop control systems for AM processes;
- Applications of artificial intelligence in the above topics.
Dr. Boce Xue
Dr. Kaiming Wang
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-anonymized 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 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
- additive manufacturing
- process modeling
- process monitoring
- process control
- anomaly detection
- artificial intelligence
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