Analysis of images recorded during welding processes

Bzymek, A.; Czupryski, A.; Fidali, M.; Jamrozik, Wojciech; Timofiejczuk, Anna

doi:10.21611/qirt.2008.02_04_14

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…Several researchers have used IR technology successfully to obtain the temperature field in the welding processes [35]. Other researchers have used the results obtained by IR to validate FE models [36,37]. For the current paper, the temperature field was recorded using IR technology during the manufacture of all welded joints.…”

Section: Temperature Field Angular Distortion and Residual Stress Mmentioning

confidence: 99%

Residual Stresses with Time-Independent Cyclic Plasticity in Finite Element Analysis of Welded Joints

Lostado-Lorza

Bobadilla

Calvo

et al. 2017

Metals

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Due to the intense concentration of heat in a reduced area when Gas Metal Arc Welding (GMAW) is used to join mechanical components, the regions near the weld bead are subjected to severe thermal cycles. Firstly, the region close to the weld bead that is heated tends to be in compression and, when it cools, tends to be in tension. According to Pilipenko, the material is exposed to elastic compression and, then, reaching the yield limit, undergoes plastic deformation with the appearance of residual stresses followed by elastic-plastic unloading. This could be considered as a strain-stress cycle. This paper applies plastic-strain-range memorization based on time-independent cyclic plasticity theory for butt joints with single V-groove Finite Element (FE) models that were manufactured by GMAW. The theory combines both the isotropic hardening and the nonlinear kinematic hardening rule (Chaboche model) to reproduce the behavior of cyclic plasticity and thus to obtain the residual stresses in welded joint FE models. As a practical example, the proposed theory is validated by three welded joint specimens that were manufactured with different input parameters of speed, voltage, and current. An agreement between the residual stresses obtained by the FE model proposed and those obtained experimentally by the hole drilling method at different depths demonstrates that the proposed theory could be valid for modelling the residual stresses in welded joints when cyclic plasticity is considered over the range of speed, voltage, and current studied.

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Section: Temperature Field Angular Distortion and Residual Stress Mmentioning

confidence: 99%

Residual Stresses with Time-Independent Cyclic Plasticity in Finite Element Analysis of Welded Joints

Lostado-Lorza

Bobadilla

Calvo

et al. 2017

Metals

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“…IR technology has the advantage of providing the temperature field points of all weld parts automatically and accurately. Several researchers have used IR technology successfully to obtain the temperature field in the welding processes [37], and subsequently used it to validate FE models [10,58]. For the current paper, the temperature field was recorded during the manufacture of all welded joints (33 samples for Butt joint with partial penetration groove weld (single V-groove) and 33 samples for Tee joint with partial penetration (single bevel groove)).…”

Section: Measuring the Temperature Fieldmentioning

confidence: 99%

“…These were 11 different parameters. Firstly, the thermal conduction phenomena considered four parameter based on the different pairs of contacts that made up the welded joints [5,10,58]: thermal contact plate 1-plate 2; thermal contact plate 1ground; thermal contact plate 1-weld cord and thermal contact plate 2-weld cord. The weld flux for all FE models was assumed to be a double ellipsoidal shaped [23].…”

Section: Parameterization Of the Fe Modelsmentioning

confidence: 99%

“…It was defined by four parameters that defined the shape of the ellipsoid (forward, rear, width and deep) and the input parameters of the welding process (speed, current and voltage) that are shown in Table 1 (columns 2, 3 and 4). Similarly, the phenomenon of thermal convection was modeled for all FE models using three different film coefficient parameters: cord film, cord plates and cord plates-ground [9,10,58]. Finally, radiation was taken into consideration in all FE models and applied in the weld bead and the surrounding areas.…”

Section: Parameterization Of the Fe Modelsmentioning

confidence: 99%

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Combining soft computing techniques and the finite element method to design and optimize complex welded products

Lostado

Martinez

Donald

et al. 2015

ICA

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One of the main objectives when designing welded products is to reduce strains and deformations. Strains can cause excessive angular distortion. This results in a welded product that does not meet acceptable tolerances. The geometry of the weld bead (height and width) depends on the input parameters (speed, voltage and current), and provides the welded joint with strength and quality. As welded products become increasingly complex, deformations become more difficult to predict as they depend greatly on the welding sequence. This paper shows how a combination of the Finite Element Method, Genetic Algorithms and Regression Trees may be used to design and optimize complex welded products. Initially, Artificial Neural Networks and Regression Trees that are based on heuristic methods and evolutionary algorithms were used in predicting the weld bead geometry according to the input parameters. Then, thermo-mechanical Finite Element models were created to obtain the temperature field and the angular distortion using the weld bead geometry that the best predictive models generated. Finally, optimization techniques that are based on Genetic Algorithms were used to validate these Finite Element models against experimental results, and to subsequently find the optimal welding sequence to use in the manufacture of complex welded products.

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“…The evaluation of the welding process using video images concerns two areas: electric arc subarea and the cooling area, which covers a fragment of the formed joint 18,19 . Processing of the obtained images is based on carrying out several operations, the first of which is to identify ROI.…”

Section: Processing and Analysis Of Video Imagesmentioning

confidence: 99%