焊接智能化监测技术研究现状与展望

Translated title of the contribution: Research progress and prospect of welding intelligent monitoring technology

Zhifen Zhang, Shanben Chen, Yuming Zhang, Guangrui Wen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In the context of the National 14th Five-Year Plan for Intelligent Manufacturing and the Vision 2035 for High-Quality Development of Manufacturing, the significance of intelligent welding technology is readily apparent. First, this paper analyzes the publication status of research results in both academia and industry, summarizing the characteristics of the current distribution of achievements. Additionally, a series of important academic conferences related to this field are listed, highlighting the research popularity of this discipline. Furthermore, this review examines the latest domestic and international research progress in welding and additive manufacturing technologies from the perspectives of acoustics, spectroscopy, vision, thermography, and multi-information fusion monitoring. It indicates that multi-source information fusion technology is likely to be the mainstream approach for the future development of intelligent welding monitoring systems. Finally, the paper concluded the ‘six more and six less’ phenomena existing in the current stage of the domestic welding intelligence - defects online monitoring basic research, and from the multi-scenario to expand the application, pointed out the welding intelligent monitoring technology of the future development goals and key breakthroughs in the problem.

Translated title of the contributionResearch progress and prospect of welding intelligent monitoring technology
Original languageChinese (Simplified)
Pages (from-to)10-20 and 70
JournalHanjie Xuebao/Transactions of the China Welding Institution
Volume45
Issue number11
DOIs
StatePublished - Nov 2024

Bibliographical note

Publisher Copyright:
© 2024 Harbin Research Institute of Welding. All rights reserved.

Keywords

  • arc additive manufacturing
  • Intelligent welding
  • multi-information fusion
  • online defect detection
  • quality monitoring

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

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