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

Nezamdost, M. R.; Esfahani, M. Reza; Hashemi, S. H.; Mirbozorgi, Seyed Ali

doi:10.1007/s00170-016-8509-4

Cited by 71 publications

(28 citation statements)

References 38 publications

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“…For the numerical simulations, the hot-rolled low alloy steel Q345 with a nominal yield strength of 345 MPa was used for the OSD. The temperature-dependent mechanical and physical properties of Q345 steel have been obtained from some references [ 12 , 33 , 34 ], which are presented in Figure 2 .…”

Section: Numerical Simulation Modelmentioning

confidence: 99%

The Evolution of Residual Stress in Rib-Diaphragm Joints of Orthotropic Steel Decks Subjected to Thermal Cutting and Welding

Xiong

Chen

et al. 2020

Materials

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Residual stresses change the stress ratio of fluctuating stresses, hence seriously affect the fatigue life of orthotropic steel decks (OSDs) under traffic loading. Residual stress distributions near the U rib-diaphragm joints are very complicated and need to be investigated further. In this paper, a systematic method has been proposed for calculating the residual stress field in the joint of U rib and diaphragm due to thermal cutting and welding. Firstly, a mathematical model of cutting heat sources was established to predict the temperature field. Then, a numerical elastoplastic thermomechanical model was built to predict the residual stress evolutions in a diaphragm-rib joint through the whole fabrication process involving flame cutting and welding. Moreover, the simulated temperature contours at the fusion zone and the residual stress distributions in the rib-diaphragm joint were compared and verified against the experimental ones. The numerical results showed a great agreement with the experimental ones, indicating that the heat source model can be used to accurately predict the temperature field during flame cutting. Finally, the validated numerical model was utilized to conduct parametrical analyses on the effects of thermal processing rates, e.g., the cutting and welding speeds and on the residual stress distribution in the rib-diaphragm joint. The results indicate that a faster cutting speed and a slower welding speed can decrease the residual stress magnitude at the rib-diaphragm joints and reduce the high-stress zone near the diaphragm cutouts.

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Section: Numerical Simulation Modelmentioning

confidence: 99%

The Evolution of Residual Stress in Rib-Diaphragm Joints of Orthotropic Steel Decks Subjected to Thermal Cutting and Welding

Xiong

Chen

et al. 2020

Materials

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“…The analytical solutions [1][2][3][4][5][6] allow us to estimate the searched values and to determine their dependence on various factors quicker, but for more complex problems these solutions are difficult or even impossible to apply. Some problems can be solved only with numerical methods, for instance, the finite element method, which is commonly used [7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Investigation of Temperature and Phase Transformation during SAW Overlaying

et al. 2019

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The article presents the modeling of temporary temperature and phase share calculations during SAW (submerged arc welding) overlaying of steel elements. The input heat of a melted electrode and the heat of direct electric arc impact have been taken into consideration in the temperature field solution. The characteristic areas (fusion, full and incomplete transformation), have been determined by solidus, A3 and A1 temperatures, respectively. The limit temperatures of the phase trandformations during cooling, based on the cooling rate in the temperature range 800–500 °C according to S355 steel time-temperature-transformation welding diagram, have been determined. The JMAK (Johnson–Mehl–Avrami–Kolmogorov) law and KM (Koistinen–Marburger) formula were used in the phase change kinetic description. Theoretical considerations were illustrated with examples of temperature and phase share computations for welding overlaid S355 steel plate. The analysis of the history of changes in temperature and structural components (phases) was carried out based on the results of numerical simulations as well as metallographic examination after SAW overlaying. The dimensions of the HAZ (heat-affected zone), obtained experimentally, and the structure types confirmed the results of the computation.

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“…to overcome the above-mentioned problem. [8][9][10][11] Besides, to predict the important bead geometries such as depth of penetration (DOP), bead width (BW) and reinforcement have been accurately predicted by adopting various mathematical tools such as neural networks, adaptive neurofuzzy inference system (ANFIS), etc. [12][13][14][15][16][17][18][19][20][21][22][23] Meco et al initiated complete bead shape prediction using mathematical tools.…”

Section: Introductionmentioning

confidence: 99%

Weld bead graphical prediction of cold metal transfer weldment using ANFIS and MRA model on Matlab platform

2018

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A difficult task for the transport sector is to make its assemblies lighter and perform more efficiently. Use of aluminum and its alloys has increased extensively in this sector because of reduction in weight of the vehicles and resulting energy savings. High thermal conductivity and thermal expansion pose difficulty in welding of these alloys. Cold metal transfer (CMT), a low heat input welding process, is the best choice for welding of these alloys. However, controlling the welding input parameters is highly necessary to obtain defect-free and high strength welded joints. In the present study, an attempt is made to develop a Matlab software-based application by two approaches, such as multiple regression analysis (MRA) and adaptive neuro-fuzzy inference system (ANFIS), for predicting the complete weld bead shape (graphical representation) of AA5052 using the CMT welding process. The data inputs used for both approaches are welding current (A) and welding speed (mm/min), respectively. A graphical interface is built to help the user to choose welding input parameters and obtain directly a representation of the weld bead profile in graphical form. In addition, the output response shows the complete weld bead shape, which is defined by the X and Y coordinates of the various points in the weld bead profile. The results are validated with randomized tests against the weld bead shape predicted by Matlab. Comparatively, ANFIS is the more effective method for predicting the weld bead profile and shows better agreement with the experimental profile than MRA. Further, the reliability and stability of the ANFIS model were determined from the mean absolute error percentage, root mean square error values, and linear R2 fit model, confirming that the ANFIS-based prediction is in better agreement with the experimental values than MRA.

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

Cited by 71 publications

References 38 publications

The Evolution of Residual Stress in Rib-Diaphragm Joints of Orthotropic Steel Decks Subjected to Thermal Cutting and Welding

The Evolution of Residual Stress in Rib-Diaphragm Joints of Orthotropic Steel Decks Subjected to Thermal Cutting and Welding

Theoretical and Experimental Investigation of Temperature and Phase Transformation during SAW Overlaying

Weld bead graphical prediction of cold metal transfer weldment using ANFIS and MRA model on Matlab platform

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