Application of sensing technology in intelligent robotic arc welding: A review
Journal of Manufacturing Processes, ISSN: 1526-6125, Vol: 79, Page: 854-880
2022
- 70Citations
- 101Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Review Description
As a traditional fusion welding method, arc welding occupies most of the total welding production. However, the current industrial welding robots with the “teaching and playback” mode cannot satisfy the requirements of modern welding manufacturing. To overcome this major challenge, advanced sensing technology can be used to efficiently imitate and reproduce the welder's senses and brain. Many recent studies on application of sensing technology have promoted the development of robotic arc welding toward intelligent welding. In this paper, from the perspective of intelligent welding systems (IWS), the application of advanced sensing technology in the pre-process, in-process, and post-process stages of intelligent robotic arc welding is summarized and discussed. First, the development and application of various sensing technologies and multisensor fusion technologies for intelligent arc welding are reviewed and discussed. Subsequently, according to the different objectives of each welding stage, the advanced sensing technologies, including those for weld path recognition, weld seam tracking, weld pool monitoring, weld quality diagnosis, and weld bead inspection, are summarized and compared. Finally, a summary is provided and future prospects are put forward. This paper reviews the research progress of sensing technology for different monitoring objectives of intelligent robotic arc welding, and to provide a basis for future work.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1526612522003437; http://dx.doi.org/10.1016/j.jmapro.2022.05.029; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85131087428&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1526612522003437; https://dx.doi.org/10.1016/j.jmapro.2022.05.029
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know