Influence of Hardening Models on the Estimation of Residual Stresses by Finite Element Modeling in Type 316LN Stainless Steel Weld Joints

Pavan, A. R.; Arivazhagan, B.; Sharma, Govind; Kumar, Suranjit; Mahadevan, S.; Vasudevan, M.

doi:10.1007/s11665-022-06654-2

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…For the thermal analysis of the hybrid welding process, the combined heat source model was used. The most widely used double ellipsoidal heat source model was used for the TIG and A-TIG welding procedures [7], [51]- [53]. The laser heat source was modelled using a 3D conical and cylindrical shell [54].…”

Section: Heat Source Modellingmentioning

confidence: 99%

“…The Hybrid Laser-MIG (HLM) weld joint's narrower weld bead geometry showed a much narrower tensile stress distribution than the arc-based hot wire TIG weld joint [6]. The computational results demonstrate that the welding residual stress distribution is highly influenced by the weld metal volume and that the residual stress prediction accuracy depends on hardening models [7]. Using three-dimensional finite element analysis, temperature, and residual stress distributions in SS304 materials for the nuclear industry are successfully studied using ANSYS.…”

Section: Introductionmentioning

confidence: 97%

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Numerical Simulation of the Effect of Fusion Welding Processes on Residual Stress in Stainless Steel Pipe Weld Joints Used in Fast Reactors

Ragavendran,

Vasudevan

2023

Engineering Science & Technology

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The main structural material used in the building of Fast Breeder Reactors (FBR) is stainless steel of type 316L(N). Finite Element Model (FEM)-based simulations were carried out to understand the effect of various welding processes on the residual stresses induced in 316L(N) stainless steel primary sodium-carrying pipes with an inner diameter of 208 mm and a wall thickness of 5.6 mm. The welding processes considered include multi-pass Tungsten Inert Gas (TIG) welding, A-TIG, laser, hybrid laser-TIG, and Hybrid laser-Metal Inert Gas (MIG). First, single or hybrid heat sources are chosen based on the welding process, and then weld bead profiles obtained during simulation are made to match with that of the actual weld bead profiles obtained during experiments. Then, the optimised heat source is employed for the thermal analysis. The thermal analysis output is then successively linked and provided as input to the mechanical analysis, which uses an isotropic hardening model to predict hoop and axial residual stresses in pipe weld joints. The results show that the A-TIG weld joint exhibited lower hoop stress (165 MPa at inner diameter and -2 MPa at outer diameter) in comparison with that of the other weld joints. The lower residual stress is attributed due to the straight-sided weld bead, lower peak temperature, and slower cooling rate of the A-TIG welding. Therefore, A-TIG welding is recommended among the chosen fusion welding processes for welding of 316L(N) stainless steel primary sodium carrying pipes to minimise the residual stresses and mitigate the premature failure of the pipe weld joints.

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Section: Heat Source Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Numerical Simulation of the Effect of Fusion Welding Processes on Residual Stress in Stainless Steel Pipe Weld Joints Used in Fast Reactors

Ragavendran,

Vasudevan

2023

Engineering Science & Technology

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“…rough the programming of implementation steps of the four production lines, process intellectualization is achieved [40,41]. e automation of a production line can be realized through the automatic setting of each process's connection.…”

Section: Implementation Steps Of Intelligent Production Linementioning

confidence: 99%

Application of Intelligent Technology on Tunnel Steel Structure Factory

2022

Mathematical Problems in Engineering

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At present, the construction of tunnel steel structure factories has been common, but most of them are still on the low end. In addition, the manual processing modes face certain problems, such as high waste rate, low efficiency, and discrete welding of steel components. To address these problems, this paper introduces an intelligent management cloud platform, aiming to realize unmanned control methods and construct an intelligent tunnel steel component processing plant. There are four main production lines in the intelligent steel structure factory. First, an intelligent production line of a tunnel grille arch effectively improves the production efficiency, production quality, and dust removal effect of the grille arch through the automatic welding technology of a reinforcement mechanism-based welding robot. Second, a processing line of a steel pipe for tunnel construction improves the overall processing efficiency, saves costs, and reduces work intensity by using an intelligent numerical control system, a pneumatic clamping device, a plasma cutting hole assembly, and a 360-degree automatic rotation system. Third, an automatic feeding platform of section steel arch production line adopts the six-axis robot sensor clamping connecting plate positioning and six-axis robot sensing three-plane automatic welding system, which not only compensates for the defects of manual production but also realizes the reduction, increases efficiency, and improves welding quality and precision. Fourth, an automatic steel mesh production line saves much labor and enhances site management and production efficiency through vertical and horizontal reinforcement pay-off racks. Overall, in this study, the construction goals of informatization, intellectualization, and personnel downsizing of the tunnel steel structure processing have been achieved.

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“…Some authors studied also the influence of the residual stresses on the distortion of welded material [ 25 , 26 , 27 ]. Highly interesting studies were carried out by García et al [ 28 ] and Pavan et al [ 29 ]; these authors applied isotropic and kinematic hardening models to estimate their influence on the welding residual stress distribution. Predicted results were compared with the experimentally measured data obtained from X-ray diffraction, and it was found that residual stress prediction accuracy depends on the hardening models as well.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Analysis of the Residual Stresses in Seamed Pipe in Dependence on Welding and Metal Forming

et al. 2023

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Concerning the increasingly widespread utilization of the finite element method (FEM), the concept of the so-called virtual factory is also gaining ground, and not only in the engineering industry. This approach does not use numerical simulations of individual production technologies separately but treats the entire production process as a chain of interrelated technologies. Thus, the output data from one technology is taken as input data for the following technology. The resulting thermal and mechanical effects are then not only dealt with within one technology but always comprehensively within the production process. In the consideration of the loading and subsequent service lives of manufactured components, values of residual stresses are one of the very important characteristics. For these reasons, this paper deals with the effect of residual stresses’ magnitude and distribution during the formation and the final springback of the seamed pipe end section with and without respect to the influence of the preceding welding. The resulting residual stress values from numerical simulations are subsequently compared with the actual values of residual stresses experimentally measured using X-ray diffraction.

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Influence of Hardening Models on the Estimation of Residual Stresses by Finite Element Modeling in Type 316LN Stainless Steel Weld Joints

Cited by 7 publications

References 27 publications

Numerical Simulation of the Effect of Fusion Welding Processes on Residual Stress in Stainless Steel Pipe Weld Joints Used in Fast Reactors

Numerical Simulation of the Effect of Fusion Welding Processes on Residual Stress in Stainless Steel Pipe Weld Joints Used in Fast Reactors

Application of Intelligent Technology on Tunnel Steel Structure Factory

Experimental and Numerical Analysis of the Residual Stresses in Seamed Pipe in Dependence on Welding and Metal Forming

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