Intelligent Welding
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 2401
Special Issue Editor
Interests: welding technologies; residual stresses; digital twins for welding; large-scale metal additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, welding processes are becoming increasingly complex, with novel parameters to address the new requirements of users and customers, particularly in dynamic environments. As welding moves towards more customized production, next-generation welding systems should be able to intelligently adjust to changing welding tasks while maintaining high quality. Advancements in computer science, control theory, robotics, and machine learning are facilitating intelligent automation, real-time monitoring, analysis, process control, and decision making, i.e., areas of exploration in manufacturing research initiatives such as Industry 5.0 and smart manufacturing. There is a significant demand for the implementation of such new technologies to reduce manufacturing time, expand the range of welding applications, and enhance overall product quality. As such, there is a necessity to explore and integrate cutting-edge solutions that can help to achieve these objectives.
This Special Issue calls for papers that present innovative works on the improvement of the concepts, technologies, and system architectures of the welding processes, including sensing, monitoring and signal processing, feature extraction and selection, real-time modelling, decision-making, learning and developing of intelligent welding systems, and digital twin systems for welding processes.
Dr. Hessamoddin Moshayedi
Guest Editor
Manuscript Submission Information
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Keywords
- intelligent welding systems
- machine learning
- artificial intelligence
- monitoring and control
- advanced modelling
- digital twins for welding
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