Finite element modeling of welding processes

Anca, Andrés; Cardona, Alberto; Risso, José; Fachinotti, Víctor D.

doi:10.1016/j.apm.2010.07.026

Cited by 137 publications

(76 citation statements)

References 39 publications

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“…These parameters are obtained from experimental analysis of the fusion zone and are adjusted to create a desired melted zone according to the welding conditions. In addition, the moving coordinate system is assumed to be matched with the stationary coordinate C at time t = 0 for f i for i = f, rindicates the percentage of the total welding power Q in the front (f f ) or rear quarter (f r ) of the two ellipsoidal regions and is linearly related to the dimensions of these regions by Goldak [24,39,40]:…”

Section: Thermal Analysismentioning

confidence: 99%

Investigation of temperature and residual stresses field of submerged arc welding by finite element method and experiments

Nezamdost

Esfahani

Hashemi

et al. 2016

Int J Adv Manuf Technol

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This article reports on a numerical and experimental investigation to understand and improve computer methods in application of the Goldak model for predicting thermal distribution in submerged arc welding (SAW) of APIX65 pipeline steel. Accurate prediction of the thermal cycle and residual stresses will enable control of the fusion zone geometry, microstructure, and mechanical properties of the SAW joint. In this study, a new Goldak heat source distribution model for SAW is presented first. Both 2D and 3D finite element models are developed using the solution of heat transfer equations in ABAQUS Standard implicit. The obtained results proved that the 2D axi-symmetric model can be effectively employed to simulate the thermal cycles and the welding residual stresses for the test steel. As compared to the 3D analysis, the 2D model significantly reduced the time and cost of the FE computation. The numerical accuracy of the predicted fusion zone geometry is compared to the experimentally obtained values for bead-on-plate welds. The predictions given by the present model were found to be in good agreement with experimental measurements.

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Section: Thermal Analysismentioning

confidence: 99%

Investigation of temperature and residual stresses field of submerged arc welding by finite element method and experiments

Nezamdost

Esfahani

Hashemi

et al. 2016

Int J Adv Manuf Technol

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“…The parameter c r is twice as long as c f . The heat source model definition for the rear ellipsoid is done by changing the indices according to [12]. Q 0 , Q 0,f and Q 0,r have to be calibrated during the thermal analysis to ensure, that the transmitted heat input is equal to Q given in Eq.…”

Section: Materials Models and Modelling Techniques 31 Heat Source Modelsmentioning

confidence: 99%

Numerical Simulation of Welding Process – Application in Buckling Analysis

Kollár

Kövesdi

Néző³

2016

Period. Polytech. Civil Eng.

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Keywords welding simulation, residual stresses, residual deformations, uncoupled thermo-mechanical analysis, GMNI analysis IntroductionIt is a fundamental expectation to speed up manufacturing processes while improving productivity and quality of steel structures. Structural steels are among the most widely used structural materials in the civil engineering practice. Welding has become more relevant for on-site constructions while it has been already widely used in workshops in the steel industry. Therefore it is an important task to determine residual deformations and residual stresses due to welding since it can have influence on the quality of the manufacturing process as well as on the resistance of steel members. Numerous previous research activities highlighted the importance of residual stresses and geometric imperfections. Detailed experimental investigations were carried out on welded and cold-formed box section girders by Somodi and Kövesdi in 2015 [1] to investigate the shape and magnitude of the residual stresses in different box sections using different steel grades. Results of previous laboratory tests showed that the shape and the residual stress intensity appreciably depend on the manufacturing process and the geometry of the specimen. However most of the standards such as the Eurocode [2] give only approximations and assumptions on initial geometric imperfections while the real behaviour of the analysed structures can be significantly different. On the other hand, in case of steel structures there are often manufacturing difficulties and resistance problems due to large weld sizes and high heat inputs. These effects can result in large deformations and residual stresses, which can reduce the resistance of the steel members for example for bridges where the applied plate thicknesses can be quite large (up to 100 mm).The development of production quality and design of sustainable structures indicate the importance of numerical simulations. Finite element analysis can be used to design structures considering the manufacturing process as well. Several years ago it was almost impossible to simulate the welding of complex structures because of hardware requirements and long computational time. Due to the improvement of computational background it is feasible to examine large-scale welded joints and structures in an adequately accurate way, but it has to be declared that computations still have limitations.

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“…Its use in manufacturing processes is increasing and is part of the field of new applications in computational mechanics. The most important reason for this development is the industrial need to improve productivity and quality of products and to have better understanding of the influence of different process parameters [5]. The modeled phenomena play an important role at various stages of the production of steel parts, such as welding, heat treatment and casting, among others.…”

Section: Introductionmentioning

confidence: 99%

Transient Finite Element Simulation and Microstructure Evolution of Aa2219 Weld Joint Using Gas Tungsten Arc Welding Process

Sivaraman¹,

Shrikrishna²,

Sathiya³

et al. 2016

Adv. Sci. Technol. Res. J.

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In this study we focus on finite element simulation of gas tungsten arc welding (GTAW) of AA2219 aluminum alloy and the behavioral of the microstructure before and after weld. The simulations were performed using commercial COMSOL Multiphysics software. The thermal history of the weld region was studied by initially developed mathematical model. A sweep type meshing was used and transient analysis was performed for one welding cycle. The highest temperature noted was 3568 °C during welding. The welding operation was performed on 200×100×25 mm plates. Through metallurgical characterization, it was observed that a fair copper rich cellular (CRC) network existed in the weld region. A small amount of intermetallic compounds like Al 2 Cu is observed through the XRD pattern.

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Finite element modeling of welding processes

Cited by 137 publications

References 39 publications

Investigation of temperature and residual stresses field of submerged arc welding by finite element method and experiments

Investigation of temperature and residual stresses field of submerged arc welding by finite element method and experiments

Numerical Simulation of Welding Process – Application in Buckling Analysis

Transient Finite Element Simulation and Microstructure Evolution of Aa2219 Weld Joint Using Gas Tungsten Arc Welding Process

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