Detection of wire feeding speed and its influence on rotating arc welding quality

Jian, Le; Liu, Yichun; He, Yinshui; Zhang, Hua; Chen, Xiaoqi

doi:10.1007/s00170-023-11061-5

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…During GTAW, the arc voltage value corresponds to the arc length unaffected by other complex disturbances, like arc light, spatter, and fog, so that the change rule of the arc length can be reflected by that of the arc voltage value with great performance stability and in real time [ 28 ]. So arc sensors are widely used for real-time monitoring and control of the welding process because of these characteristics [ 29 , 30 , 31 , 32 ]. Sergio Ríos et al [ 33 ] believed that the arc voltage drops due to the contact between the wire and the pool through the droplet, which changes the pool form and shortens the average arc length; once the wire and pool lose touch with each other, the arc voltage suddenly restores to its original state; the authors pointed out that this discovery can be used in monitoring droplet transfer processing [ 34 ], but they have not proposed a certain monitoring method.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Monitoring Method for Droplet Transfer Frequency in Wire-Filled GTAW Based on Arc Sensing

Jia,

Luo,

Hong

et al. 2024

Sensors

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Droplet transfer frequency is a decisive factor in welding quality and efficiency in gas tungsten arc welding (GTAW). However, there still needs to be a monitoring method for droplet transfer frequency with high precision and good real-time performance. Therefore, a real-time monitoring method for droplet transfer frequency in wire-filled GTAW using arc sensing is proposed in this paper. An arc signal acquisition system is developed, and the wavelet filtering method filters out noise from the arc signal. An arc signal segmentation method—based on the OTSU algorithm and a feature extraction method for droplet transition based on density-based spatial clustering of applications with noise (DBSCAN)—is proposed to extract the feature signal of the droplet transition. A new conception of droplet transition uniformity is proposed, and it can be used to monitor the weld bead width uniformity. Numerous experiments for monitoring droplet transfer frequency in real time are conducted with typical welding parameters. This method enables the real-time observation of droplet transfer frequency, and the result shows that the average monitoring error is less than 0.05 Hz.

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