Exploring a locus of maximum metal transfer stability of the short-circuiting GMAW process based on the reignition voltage peaks

Ferreira, Guilherme Rezende Bessa; Filho, Roberto Malheiros Moreira; Scotti, Américo; Lagares, Moisés Luiz

doi:10.1007/s40430-021-03223-x

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…where σ tsc is the standard deviation of the average short-circuit time, σ tarcing is the standard deviation of the average arc burning time, t sc is the average short-circuit time, and t arcing is the average arc burning time [23,35]. Furthermore, the IVsc regularity index takes into account both average and standard deviation values so that a lower IVsc value indicates a more regular transition, that is, a more stable metal transfer [40][41][42].…”

Section: Methodsmentioning

confidence: 99%

“…Authors have studied the stability of the electric arc for arc deposition processes and, in this perspective, have applied numerical indicators to quantify it. In the context of short-circuit deposition processes, the Vilarinho index (IVsc) has been applied to study the mechanism of this transfer mode in GMAW [31][32][33][34], in stability analyses of the cold metal transfer (CMT) in brazing processes [35], and in the optimization of its parameters in the WAAM process [36]. However, the use of the IVsc to verify the stability of the arc as a function of introducing defects in the arc deposition processes has not yet been explored.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Contaminations on Electric Arc Behavior and Occurrence of Defects in Wire Arc Additive Manufacturing of 316L-Si Stainless Steel

Souto,

Lima,

Castro

et al. 2024

Metals

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Additive Manufacturing is a manufacturing process that consists of obtaining a three-dimensional object from the deposition of material layer by layer, unlike conventional subtractive manufacturing methods. Wire Arc Additive Manufacturing stands out for its high productivity among the Additive Manufacturing technologies for manufacturing metal parts. On the other hand, the excessive heat input promotes increased residual stress levels and the occurrence of defects, such as pores, voids, a lack of fusion, and delamination. These defects result in abnormalities during the process, such as disturbances in electrical responses. Therefore, process monitoring and the detection of defects and failures in manufactured items are of fundamental importance to ensure product quality and certify the high productivity characteristic of this process. Thus, this work aimed to characterize the effects of different contaminations on the electric arc behavior of the Wire Arc Additive Manufacturing process and the occurrence of microscopic defects in thin walls manufactured by this process. To investigate the presence of defects in the metal preforms, experimental conditions were used to promote the appearance of defects, such as the insertion of contaminants. To accomplish the electric arc behavior analysis, voltage and current temporal data were represented through histograms and cyclograms, and the arc stability was assessed based on the Vilarinho index for a short circuit. Effectively, the introduction of contaminants caused electric arc disturbances that led to the appearance of manufacturing defects, such as inclusions and porosities, observed through metallographic characterization. The results confirm that the introduction of contaminations could be identified early in the Wire Arc Additive Manufacturing process through electric arc data analysis.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Contaminations on Electric Arc Behavior and Occurrence of Defects in Wire Arc Additive Manufacturing of 316L-Si Stainless Steel

Souto,

Lima,

Castro

et al. 2024

Metals

View full text Add to dashboard Cite

show abstract

“…Because of these influences, the stability of droplet transfer is difficult to ensure, which seriously affects the welding quality. A reliable approach to maintaining the stability of droplet transfer in wire-filled GTAW is closed-loop control [ 8 ], the key to which involves monitoring the droplet transfer frequency in real time [ 9 , 10 ].…”

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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Exploring a locus of maximum metal transfer stability of the short-circuiting GMAW process based on the reignition voltage peaks

Cited by 2 publications

References 16 publications

Effects of Contaminations on Electric Arc Behavior and Occurrence of Defects in Wire Arc Additive Manufacturing of 316L-Si Stainless Steel

Effects of Contaminations on Electric Arc Behavior and Occurrence of Defects in Wire Arc Additive Manufacturing of 316L-Si Stainless Steel

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

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