Intelligent Welding
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: 15 May 2024 | Viewed by 218
Special Issue Editor
Interests: welding technologies; residual stresses; digital twins for welding; large-scale metal additive manufacturing
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
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.
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. Machines is an international peer-reviewed open access monthly 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
- intelligent welding systems
- machine learning
- artificial intelligence
- monitoring and control
- advanced modelling
- digital twins for welding
