Monitoring and Control of Additive, Machining, and Hybrid Manufacturing Processes
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 90
Special Issue Editor
Interests: intelligent and hybrid manufacturing systems; cyber physical adaptive control; tool condition monitoring; AI-driven decision-making; laser-based additive manufacturing; robotized additive–subtractive manufacturing; cost-effective in-situ sensing and process control
Special Issue Information
Dear Colleagues,
The increasing complexity and customization demands of modern manufacturing have elevated the importance of real-time monitoring and control in additive, machining, and hybrid manufacturing processes. Ensuring product quality, process stability, and operational efficiency means that advanced strategies are required to accurately observe, analyze, and regulate these processes throughout production.
Additive manufacturing has revolutionized the production of intricate components by enabling layer-by-layer fabrication, while traditional machining remains indispensable for achieving tight tolerances and surface finishes. Hybrid manufacturing, combining additive and subtractive techniques, offers unprecedented flexibility and performance. However, the intricate nature of these processes, involving complex thermal, mechanical, and chemical phenomena, presents significant challenges for effective monitoring and control.
Emerging technologies such as sensor integration, machine learning, real-time data analytics, and adaptive control systems are transforming the ability to detect defects, optimize process parameters, and predict tool wear or part quality. Research efforts increasingly leverage multiphysics modeling, in situ measurement techniques, and intelligent control algorithms to enhance process robustness and reproducibility.
This Special Issue aims to gather cutting-edge research and innovative technological developments in the monitoring and control of additive, machining, and hybrid manufacturing processes. Contributions that address process sensing, data acquisition, signal processing, fault diagnosis, closed-loop control, and digital twin applications are highly encouraged to foster the next generation of smart manufacturing systems.
Dr. Mahmoud Hassan
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.
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Keywords
- additive manufacturing
- machining processes
- hybrid manufacturing
- process monitoring
- process control
- real-time sensing
- adaptive control systems
- fault diagnosis
- digital twins
- machine learning in manufacturing
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