Robust pattern recognition for measurement of three dimensional weld pool surface in GTAW

Zhang, Wei Jie; Zhang, Xiang; Zhang, Yu Ming

doi:10.1007/s10845-013-0825-z

Cited by 22 publications

(14 citation statements)

References 29 publications

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“…Figure 4 shows the novel system developed in Kentucky University. Based on the system, sensing and pool reconstruction of the GTAW weld pool were conducted first [5][6][7][8]. Then, modeling and control were also realized to acquire the desired penetration control effects [8][9][10][11][12][13][14][15][16]].…”

Section: Sensing Technologiesmentioning

confidence: 99%

“…In Ref. [6], an optimal linear model was also obtained in steady state based on the above characterization parameters of the weld pool surface.…”

Section: Characteristic Parameter Modelmentioning

confidence: 99%

“…[6], a human welder response model [8,10,11] was established using the standard least-squares algorithm and F test. The human welder response model could diminish the inconsistency in manual welding performance.…”

Section: Characteristic Parameter Modelmentioning

confidence: 99%

“…[6], a human welder response model was implemented to adjust the welding current in response to the characteristic parameters of the 3D weld pool surface, and consistent full penetration in GTAW was obtained [8,12]. And the steady state width of the obtained weld beads was shown in Fig.…”

Section: Gtaw Processmentioning

confidence: 99%

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Three-dimensional vision applications in GTAW process modeling and control

Wang

2015

Int J Adv Manuf Technol

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In gas tungsten arc welding (GTAW), the weld pool is the major source of information that can be used to assure the production of the desired weld penetration-the most critical factor determining the weld integrity. To meet this challenge, various sensing technologies, modeling methods, and control strategies have been studied, and artificial intelligence technologies were applied to improve system intelligence. The GTAW process analysis is given first. Then, a short introduction on weld pool sensing technologies is presented, where three-dimensional (3D) vision sensing is a very active orientation. Furthermore, weld pool description model and characteristic parameter model are also discussed, where intelligent algorithms were used generally. Besides, dynamic modeling and penetration control strategies, especially intelligent control strategies are presented. At last, the discussion about development of the GTAW penetration control product is analyzed briefly.

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Section: Sensing Technologiesmentioning

confidence: 99%

“…In Ref. [6], an optimal linear model was also obtained in steady state based on the above characterization parameters of the weld pool surface.…”

Section: Characteristic Parameter Modelmentioning

confidence: 99%

Section: Characteristic Parameter Modelmentioning

confidence: 99%

Section: Gtaw Processmentioning

confidence: 99%

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Three-dimensional vision applications in GTAW process modeling and control

Wang

2015

Int J Adv Manuf Technol

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“…Early researchers have found that important information such as weld defects and penetration are contained in the surface deformation of the weld pool [28,29]. A recent study suggests that compared with the 2D weld pool geometry, the 3D geometry can better predict the weld penetration which is measured by the backside weld bead width [30]. Therefore, numerous methods have been developed to reconstruct the 3D weld pool surface.…”

Section: D Weld Pool Sensingmentioning

confidence: 99%