On-line monitoring and defect detection of arc-welding via plasma optical spectroscopy and LIBS

Valdiande, José J.; Martínez-Minchero, Marina; Cobo, A.; López‐Higuera, José Miguel; Mirapeix, J.

doi:10.1016/j.sab.2022.106474

Cited by 7 publications

(5 citation statements)

References 24 publications

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“…Two papers have reported the LIBS analysis of welds. 28,29 In the former paper the on-line monitoring and defect detection of arc welding (tungsten-inert gas welding) was performed both on-and off-line. In arc welding defects can form if there is a temporary variation in the welding current, humidity level or if there is a lack of cleanliness.…”

Section: Ferrous Metalsmentioning

confidence: 99%

“…56 The impurities Cl, P, S and Si were determined in the digests using ICP-MS/MS using nitrous oxide as the reaction gas. The Cl was determined as 35 Cl 14 N + at m/z 49, the P was determined as 31 P 16 O + at m/z 47, S was determined as 32 S 14 N + at m/z 46 and Si was determined as 28 Si 16 O + at m/z 44. Since all analytes were measured at a significantly higher mass than their isotopes, the sensitivity and their LOD were improved signicantly.…”

Section: Non-ferrous Metals and Alloysmentioning

confidence: 99%

“…Each sample spot was ablated three times, the rst two to clean it and the third for quantitative measurement. The signal from 28 Si + was used to normalise the analyte signals. Overall, the precision was adequate with only a couple of elements having a precision of worse than 5% RSD.…”

Section: Ceramics and Refractoriesmentioning

confidence: 99%

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Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Clough,

Fisher,

Gibson

et al. 2023

J. Anal. At. Spectrom.

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Section: Ferrous Metalsmentioning

confidence: 99%

Section: Non-ferrous Metals and Alloysmentioning

confidence: 99%

See 1 more Smart Citation

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Clough,

Fisher,

Gibson

et al. 2023

J. Anal. At. Spectrom.

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“…Mirapeix et al [17] have established a link between the T e and the flaws in the weld seam. Valdiande et al [18] utilized OES and laser-induced breakdown spectroscopy to monitor the GTAW weld quality. Namoura et al [19] performed 3D spectroscopic measurements.…”

Section: Introductionmentioning

confidence: 99%

Non-invasive optical characterization and estimation of Zn porosity in gas tungsten arc welding of Fe–Al joints using CR model and OES measurements

SRIKAR

Kumar

Kiran

et al. 2023

Plasma Sci. Technol.

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In this study, we employed a non-invasive approach based on the collisional radiative (CR) model and optical emission spectroscopy (OES) measurements for the characterization of gas tungsten arc welding (GTAW) discharge and quantification of Zn-induced porosity during the GTAW process of Fe-Al joints. The OES measurements were recorded as a function of weld current, welding speed, and input waveform. The OES measurements revealed significant line emission from Zn-I in 460 nm to 640 nm and Ar-I in 680 nm to 800 nm wavelength range in all experimental settings. The OES cum CR model approach for Zn-I line emission enabled the simultaneous determination of both essential discharge parameters i.e. electron temperature and electron density. Further, these predictions were used to estimate the Zn-induced porosity using OES-Actinometry on Zn-I emission lines using Ar as actinometer gas. The OES-actinometry results were in good agreement with porosity data derived from an independent approach, i.e., X-ray radiography images. The current study shows that OES-based techniques can provide an efficient route for real-time monitoring of weld quality and estimate porosity during the GTAW process of dissimilar metal joints.

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“…Spectroscopy: for facilitating the detection of defects [108], such as porosity [41], defects in the weld pool [99], or in the bead [70].…”

mentioning

confidence: 99%

Advances in Robotic Welding for Metallic Materials: Application of Inspection, Modeling, Monitoring and Automation Techniques

Curiel

Veiga

Suárez³

et al. 2023

Metals

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The robotic welding manufacturing of metal parts is a very important process, especially in heavy industries such as shipbuilding, oil and gas, automotive, and aerospace. There is a great variety of different techniques for manufacturing by robotic welding, and the welding operations are always in a constant process of evolution, as any advance can be significant to avoid defects during the welding process. Although a great deal of research work has been carried out in recent years, thanks to which results and reviews have been presented on this subject, the main aim of this publication is to define and review works that show the advances in the main inspection, modeling, monitoring, and automated operations during the welding process to avoid, or predictively identify, any possible defect in order to obtain an optimum degree of quality in the welding.

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On-line monitoring and defect detection of arc-welding via plasma optical spectroscopy and LIBS

Cited by 7 publications

References 24 publications

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Non-invasive optical characterization and estimation of Zn porosity in gas tungsten arc welding of Fe–Al joints using CR model and OES measurements

Advances in Robotic Welding for Metallic Materials: Application of Inspection, Modeling, Monitoring and Automation Techniques

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