Improvement of the control of a gas metal arc welding process

Gött, Gregor; Schöpp, Heinz; Hofmann, Frank; Heinz, Gerd

doi:10.1088/0957-0233/21/2/025201

Cited by 11 publications

(9 citation statements)

References 8 publications

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“…This arc structure has been reported via spectroscopy measurements [18][19][20][21]23], numerical simulations [8,9,24], and high-speed imaging experiments [25]. This last technique requires appropriate apparatus and settings to be employed in order to reveal the details of the different arc regions, metal transfer, and fume formation, in order to provide useful information regarding the welding process and metal transfer phenomenon.…”

Section: Introductionmentioning

confidence: 99%

“…According to the literature, the structure of the electric arc in GMAW assumes a conical shape, and is divided in two distinct regions: an outer cone composed mostly of the ionized shielding gas, and an inner cone, which presents a high concentration of electrode metal vapor [8][9][10][11][12][13][18][19][20][21][22]. This arc structure has been reported via spectroscopy measurements [18][19][20][21]23], numerical simulations [8,9,24], and high-speed imaging experiments [25].…”

Section: Introductionmentioning

confidence: 99%

“…Following preliminary trials and based on the observations of molten droplets performed by prior researchers [19][20][21]23,25,26], various filter wavelengths for visualization were selected, with frame rates and exposure times adjusted to reveal sufficient detail in droplet shapes (while disregarding unimportant overexposed areas). In this regard, this article presents high-speed images of GMAW plasma using different camera settings and filter selections.…”

Section: Introductionmentioning

confidence: 99%

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On the Visualization of Gas Metal Arc Welding Plasma and the Relationship Between Arc Length and Voltage

et al. 2017

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Abstract:In this article, the camera settings for high-speed imaging of the arc, metal transfer, and weld pool in gas metal arc welding (GMAW) are investigated. The results show that by only changing camera exposure times and the selection of narrow bandpass filters, images that reveal features of the arc such as the iron vapor-dominated region, metal transfer and weld pool behavior can be produced without the need for external light sources. Using the images acquired, the arc length was measured and the relationship between arc length and arc voltage is discussed. The results show that for low values of current, the measured welding voltage increases with increasing arc length; however, for high current values, the arc voltage increases even though the measured arc length becomes shorter. It is suggested that the increase in arc voltage for high values of welding current is due to the increased evaporation of the wire electrode which decreases the plasma temperature and consequently the arc plasma electrical conductivity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the Visualization of Gas Metal Arc Welding Plasma and the Relationship Between Arc Length and Voltage

et al. 2017

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“…Real-time IR thermography is also utilised in defect detection and process control during both welding and brazing [14][15][16][17][18][19][20][21]. Weld defects such as lack of fusion, inclusion and burn-through could be identified in realtime during GMA and GTA welding of 1.6-20 mm thick steels.…”

Section: Introductionmentioning

confidence: 99%

Real-time heat input monitoring towards robust GMA brazing

Makwana

Goecke

2019

Science and Technology of Welding and Joining

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Gas metal arc (GMA) brazing of thin sheets requires active control of heat input, filler alloy deposition and temperature field on sheet surface. A novel attempt is presented here for a rapid synchronous real-time monitoring of current and voltage transients, filler alloy depositions and temperature field using, respectively, a high-frequency recorder, high-speed videography and two thermal infrared cameras during GMA brazing of galvanized steel sheets. For heat inputs from 100 to 200 J mm −1 , the peak temperature varied from 1500 to 1700 K. The high-speed videography showed consistent filler deposition and bead profile. The methodology and results presented here depict a promising resource for real-time monitoring and feedback control of GMA brazing.

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“…The measurement is done by a spectrum analysis. Measurement of the light spectrum: In [9] the emitted light from the arc plasma is analysed spectroscopic ally for wavelengths of argon and copper and by high speed camera images. The analysis concludes about the plasma arc and droplet formation and it is used for controlling the welding power supply.…”

Section: Introductionmentioning

confidence: 99%

Vision of the Arc for Quality Documentation and for Closed Loop Control of the Welding Process

Kristiansen¹,

Kristiansen²,

Jensen³

et al. 2014

JOACE

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For gas metal arc welding a vision system was developed, which was robust to monitor the position of the arc. The monitoring documents the welding quality indirectly and a closed loop fuzzy control was implemented to control an even excess penetration. For welding experiments on a butt-joint with a V-groove with varying root gapthe system demonstrated increased welding quality compared to the system with no control. The system was implemented with a low cost vision system, which makes the system interesting to apply in industrial welding automation systems.  Index Terms-Gas metal arc welding, fuzzy control, closed loop control, welding documentation, vision, automation Morten Kristiansenis associate professor in the Department of Mechanical and Manufacturing Engineering, Aalborg University, Denmark, where he is teaching and researching in the area of manufacturing technology, robotics and process automation. Currently his research is in automation and modeling of the laser cutting and welding process. Previously Morten Kristiansen has worked at Aalborg University and received in 2007 his Ph.D. degree, in the field of modeling of the welding process using different knowledge sources and artificial intelligence.

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Improvement of the control of a gas metal arc welding process

Cited by 11 publications

References 8 publications

On the Visualization of Gas Metal Arc Welding Plasma and the Relationship Between Arc Length and Voltage

On the Visualization of Gas Metal Arc Welding Plasma and the Relationship Between Arc Length and Voltage

Real-time heat input monitoring towards robust GMA brazing

Vision of the Arc for Quality Documentation and for Closed Loop Control of the Welding Process

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