New Innovations in Laser Hybrid Welding Processing and Monitoring
A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).
Deadline for manuscript submissions: 1 September 2025 | Viewed by 229
Special Issue Editor
Interests: monitoring and on-line defect detection of laser welding; laser additive manufacturing; laser shock peening; acoustic emission monitoring; acoustic-optic fusion monitoring; sensor fusion; deep learning and data-driven-based intelligent manufacturing
Special Issue Information
Dear Colleagues,
Laser hybrid welding is a high-quality and efficient welding method that combines laser with other heat sources (such as arc, resistance heat, induction heat, etc.) and can optimize the heat input distribution in the welding process, improve the microstructure and mechanical properties of welded joints, and make up for the shortcomings of pure laser welding. It has been widely used in many fields including aerospace, automotive, and so on. Moreover, AI has become an important tool in terms of revealing the mechanisms and optimizing the process. Hence, due to the emerging AI technologies, we can learn more about the process of laser hybrid welding and produce complex parts of major equipment more precisely and more effectively with new monitoring methods and accurate controlling assistants with various deep learning technologies.
In this Special Issue of JMMP, we are looking for recent findings that focus on laser hybrid welding technologies including their application and associated research fields. Papers will be considered that show significant advancement according to the progress and quality of laser hybrid welding processing and mechanism aspects, as well as process monitoring, defect prediction, and process control.
We are interested in contributions that focus on topics such as:
- New materials and new processing technology of laser hybrid welding;
- Defect monitoring, on-line detecting, controlling and its forming mechanism;
- Multi-source information fusion monitoring and its application to laser hybrid welding;
- Explainable deep learning methods and their application to the laser hybrid welding process and parameter optimization;
- Performance evaluation and prediction of typical parts in laser hybrid welding processing;
- Large-sized parts processing and monitoring of laser hybrid welding.
Dr. Zhifen Zhang
Guest Editor
Manuscript Submission Information
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Keywords
- laser hybrid welding
- fusion monitoring
- process control
- AI
- deep learning
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