International Congress on Applications of Lasers &Amp; Electro-Optics 2012
DOI: 10.2351/1.5062445
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Detection of faults in laser beam welds by near-infrared camera observation

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Cited by 7 publications
(7 citation statements)
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“…Fig. 10 [71]- [72] developed a coaxial monitoring system integrating VIS and NIR-camera without auxiliary illumination, and a real-time image processing system analyzes the camera images regarding welding irregularities and delivers information to characterize the weld process and its result. In laser lap welding, Lapido et al [73] presented a novel approach for real-time monitoring evolution of the melt pool under several welding procedures by utilizing uncooled PbSe image sensors in the mid-wavelength infrared range.…”
Section: Co-axial Visual Sensingmentioning
confidence: 99%
“…Fig. 10 [71]- [72] developed a coaxial monitoring system integrating VIS and NIR-camera without auxiliary illumination, and a real-time image processing system analyzes the camera images regarding welding irregularities and delivers information to characterize the weld process and its result. In laser lap welding, Lapido et al [73] presented a novel approach for real-time monitoring evolution of the melt pool under several welding procedures by utilizing uncooled PbSe image sensors in the mid-wavelength infrared range.…”
Section: Co-axial Visual Sensingmentioning
confidence: 99%
“…The threshold 𝐶 in (7) for the calculation of geometrical quantities in ( 8)-( 10) sensibly influences results: the bigger the threshold, the smaller the melt pool and vice versa. Accordingly, the estimates of area, length and width of the melt pool are function of C. Setting the threshold is therefore related to the selection of isotherm of the temperature that allows the distinction of the melt pool from the surrounding powder.…”
Section: Calibration Of Process Emission Estimatesmentioning
confidence: 99%
“…estimates from DBSCAN algorithm provides a width which is slightly underestimated; 2. process emission at the melt pool tail (i.e. at the left) has a slow decay [7]. Estimates from process emission images tends to be overestimated because of the emission of already solidified material.…”
Section: A Threshold Calibrationmentioning
confidence: 99%
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