Intelligent Processing Technology of Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 866
Special Issue Editor
Interests: advanced processing technology of materials; laser-material interaction; intelligent monitoring technology; modelling and simulation; intelligent control
Special Issue Information
Dear Colleagues,
The intelligent processing technology of materials is a valuable and interesting methodology used for simulating and controlling the processing of materials, which requires strong power to achieve the precise and efficient processing of high-performance components. It enables intelligent behavior in the machining system, including the modelling, sensing, processing optimization, and control of process variables and performance, as well as the monitoring and feedback technology of the process. It has been widely applied in the processing of metals, non-metallic materials, and composite materials.
The main purpose of this Special Issue “Intelligent Processing Technology of Materials” is to showcase the benefits of applying artificial intelligence, machine/deep learning, intelligent algorithms, and intelligent monitoring technology to the processing of materials. Different processing technologies of materials, such as high-precision machining, non-traditional machining, additive manufacturing, forming, and so on are all welcome. I am pleased to invite researchers to contribute original research articles and review articles. Potential research areas may include (but are not limited to) the following:
- Intelligent control systems;
- Model-based intelligent process optimizations;
- Machine/deep learning methods applied to the processing of materials;
- Intelligent monitoring and feedback technology;
- The intelligent optimization of processing parameters;
- Big data and cloud-based processing.
I look forward to receiving your contributions.
Dr. Yanming Zhang
Guest Editor
Manuscript Submission Information
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Keywords
- control system
- modelling
- machine/deep learning
- monitoring
- parameter optimization
- big data
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