2021
DOI: 10.1016/j.jmapro.2020.03.053
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Prediction of keyhole TIG weld penetration based on high-dynamic range imaging

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Cited by 22 publications
(3 citation statements)
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“…Thus, the weld bead geometry, especially the weld depth of penetration, is shortened. Therefore, in such cases, the root of the welded joint can remain unwelded, leading to the low tensile strength and elongation of the welded joints [24].…”
Section: Optimizationmentioning
confidence: 99%
“…Thus, the weld bead geometry, especially the weld depth of penetration, is shortened. Therefore, in such cases, the root of the welded joint can remain unwelded, leading to the low tensile strength and elongation of the welded joints [24].…”
Section: Optimizationmentioning
confidence: 99%
“…A number of variants of the TIG welding process are available such as narrow gap, keyhole, active flux, and pulsed welding. 13,15,[17][18][19] In pulsed mode of TIG welding, the current oscillates between a maximum and minimum value resulting in a better utilization of arc energy. Pulsation of current also leads to grain refinement which significantly improves the weld joint strength.…”
Section: Introductionmentioning
confidence: 99%
“…Bacioiu et al [12] adopted a neural network to learn the differences between good welds and defective welds and built the relationship between weld quality and morphological information of molten pool captured by HRD (high dynamic range) camera. Zhang et al [13] obtained the backside images of molten pool and keyhole by using pulse triggered imaging method in K-TIG (keyhole tungsten inert gas) welding, and established the prediction model of the relationship between molten pool and keyhole and weld penetration. Zhang et al [14,15] built a set of CCD (charge-coupled device) double-sensor visual detection systems.…”
Section: Introductionmentioning
confidence: 99%