Fiber Bragg grating sensors for on-line welding diagnostics

Rodŕıguez-Cobo, Luis; Mirapeix, J.; Ruiz-Lombera, Rubén; Cobo, A.; López‐Higuera, J. M.

doi:10.1016/j.jmatprotec.2013.11.026

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…To verify the suitability of the proposed solution several arc-welding (Gas Tungsten Arc Welding: GTAW) experiments were performed with the welding setup described in a previous work 8 . In terms of the optical setup, two optical fibers were employed to guide the plasma radiation from the vicinity of the weld pool to the chosen CCD spectrometers, with nominal resolutions of 0.03 and 0.3 nm, and spectral ranges of approximately 180 to 530 nm and 370 to 500 nm, respectively.…”

Section: Resultsmentioning

confidence: 99%

Species discrimination in plasma welding spectra by means of principal and independent component analysis

et al. 2014

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Principal and Independent Component Analysis are used in this paper to provide a discrimination among those species participating in the plasma of welding spectra. This approach might be useful for spectral line identification for emission spectroscopy, especially for online welding diagnostics and laser induced breakdown spectroscopy. In this case, the feasibility of this proposal will be analyzed by means of arcwelding experiments where different plasma species will be separated by the proposed processing scheme.

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Section: Resultsmentioning

confidence: 99%

Species discrimination in plasma welding spectra by means of principal and independent component analysis

et al. 2014

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“…When variation is subjected to the FBG in the form of strain, this waveform is changed, and such variations measured. FBGs were used to determine material differences during welding by Rodriguez-Cobo et al [26].…”

Section: Acoustic Emission Sensors Applied To Monitoring Weld Quality...mentioning

confidence: 99%

Investigating the Detection Capability of Acoustic Emission Monitoring to Identify Imperfections Produced by the Metal Active Gas (MAG) Welding Process

et al. 2023

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Welding inspection is a critical process that can be severely time-consuming, resulting in productivity delays, especially when destructive or invasive processes are required. This paper defines the novel approach to investigate the physical correlation between common imperfections found in arc welding and the propensity to determine these through the identification of signatures using acoustic emission sensors. Through a set of experiments engineered to induce prominent imperfections (cracks and other anomalies) using a popular welding process and the use of AE technology (both airborne and contact), it provides confirmation that the verification of physical anomalies can indeed be identified through variations in obtained noise frequency signatures. This in situ information provides signals during and after solidification to inform operators of the deposit/HAZ integrity to support the advanced warning of unwanted anomalies and of whether the weld/fabrication process should be halted to undertake rework before completing the fabrication. Experimentation was carried out based on an acceptable set of parameters where extracted data from the sensors were recorded, analysed, and compared with the resultant microstructure. This may allow signal phenomena to be captured and catalogued for future use in referencing against known anomalies.

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“…Several works detect online the most common defects with the analysis of differences in spatial and temporal temperature distributions and use the Kalman filter, cumulative sum-among other methods-or combined with other information. Some examples can be found in [35,36,69,78,88,93,96,97,101,103,105,124]. Figure 13 shows the obvious differences between waveforms in a stable process and when there are discontinuities or a lack of penetration.…”

Section: Estimation Of the Weld Bead Depthmentioning

confidence: 99%

Measurement and estimation of the weld bead geometry in arc welding processes: the last 50 years of development

Bestard

Alfaro

2018

J Braz. Soc. Mech. Sci. Eng.

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The arc welding process is widely used in industry, but the automatic control is limited by the difficulty in the process for measuring the principal magnitudes and to close the control loop. Adverse environmental conditions make use of conventional measurement systems difficult for obtaining information of the weld bead geometry. Under these conditions, indirect sensing techniques are a good option. Different sensing and estimation techniques are used, but few researchers are focusing on the flat welding position. The theory and practice prove that the dynamic models are the best representation to control the welding process, but most studies are performed with static models. This work is a review of the algorithms and sensing techniques used for collecting values of the arc welding process that allow the measurement or estimation of the weld bead geometry. Special attention is given to sensor fusion techniques due to its promising future in the welding process. Discussed in this text are the papers, patents, thesis and other documents found on the theme. It shows a summary of their evolution over the last 50 years.

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Fiber Bragg grating sensors for on-line welding diagnostics

Cited by 11 publications

References 14 publications

Species discrimination in plasma welding spectra by means of principal and independent component analysis

Species discrimination in plasma welding spectra by means of principal and independent component analysis

Investigating the Detection Capability of Acoustic Emission Monitoring to Identify Imperfections Produced by the Metal Active Gas (MAG) Welding Process

Measurement and estimation of the weld bead geometry in arc welding processes: the last 50 years of development

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