2020
DOI: 10.1016/j.promfg.2020.10.043
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A knowledge-based multipass welding distortion estimation method for a multi-robot welding off-line programming and simulation software

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Cited by 6 publications
(2 citation statements)
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“…Depending on the needs and the requirements of the welding and quality measures, various sensor technologies can be utilized during welding. Sensoring and measuring can be conducted before, during, and/or after welding, e.g., by means of laser triangulation scanning [37], which can enable jigless multi-robot welding applications [38]. The quality and adaptivity data can also be gathered with other optical devices and systems (active or passive vision) [39], thermographic cameras, as well as acoustic emission, magnetic field, and radiographic sensors.…”
Section: Quality Managementmentioning
confidence: 99%
“…Depending on the needs and the requirements of the welding and quality measures, various sensor technologies can be utilized during welding. Sensoring and measuring can be conducted before, during, and/or after welding, e.g., by means of laser triangulation scanning [37], which can enable jigless multi-robot welding applications [38]. The quality and adaptivity data can also be gathered with other optical devices and systems (active or passive vision) [39], thermographic cameras, as well as acoustic emission, magnetic field, and radiographic sensors.…”
Section: Quality Managementmentioning
confidence: 99%
“…However, the prerequisite for these technologies to increase deposition rate is to increase the welding current. The heat input of base metal increases accordingly, which is prone to defects such as undercut [9] and welding deformation [10] .…”
Section: Introductionmentioning
confidence: 99%