Experimental and finite element analysis of residual stress and distortion in GTA welding of modified 9Cr-1Mo steel

Zubairuddin, M.; Albert, Shaju K.; Mahadevan, S.; Vasudevan, M.; Chaudhari, V.; Suri, V. K.

doi:10.1007/s12206-014-1132-0

Cited by 46 publications

(18 citation statements)

References 29 publications

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“…The predicted temperature distribution and residual stress were compared with thermocouple reading and XRD measurement. A good agreement was seen among the results 17 . A 3D finite element model was developed to analyse the residual stress in friction stir welded 304 steel plate.…”

Section: Introductionsupporting

confidence: 82%

Effect of Plasma Arc Welding on Residual Stress and Distortion of Thin Titanium Sheet

Arunkumar

Dhinakaran²,

Sivashanmugam

et al. 2019

Mat. Res.

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In this research work, a finite element model is developed to predict the temperature field and residual stress during plasma arc welding of thin Ti-6Al-4V sheets. Dhinakaran's heat source model which is based on Parabolic Gaussian distribution is used to predict the temperature field and Anand's model is used to predict the residual stress. Numerical simulation is performed using ANSYS ®. Heat transfer analysis is carried out primarily and the temperature field is given as the input for structural analysis. The concept of APDL programming is used to implement the governing equations. Experimental work has also been conducted to validate the predicted data. Hole Drilling Method (HDM), a semi destructive method and XRD analysis is used to measure the residual stress on the welded specimen. A good agreement is found between the predicted values and measured values.

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Section: Introductionsupporting

confidence: 82%

Effect of Plasma Arc Welding on Residual Stress and Distortion of Thin Titanium Sheet

Arunkumar

Dhinakaran²,

Sivashanmugam

et al. 2019

Mat. Res.

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“…The consequences of some welding parameters on residual stresses [15] have been studied by Ribycki et al [20], who investigated the effect of wall thickness and pipe diameter using the axisymmetric FEA model with lateral symmetry for multi-pass welding of stainless steel pipes. In weld simulation, computational software on an FEA program such as ANSYS, ABAQUS, MSC/MARC, and SYSWELD are popular [21,22]. The FEA package ANSYS is used in this research.…”

Section: Introductionsmentioning

confidence: 99%

“…It is one of the most efficient pieces of finite element (FE) calculation software and is used to evaluate residual stress, the effect of porosity, and the analysis of basic structural and heat-transfer problems. Zubairuddin et al [21] used SYSWELD software for the thermo-mechanical analysis and created a 3D meshed model for the simulation and used a double ellipsoidal heat source distribution for the thermal analysis. Klobčar et al [23] used ABAQUS computer for finite element modeling of the GTA weld-surfacing process.…”

Section: Introductionsmentioning

confidence: 99%

Finite element analysis of the effect of porosity on residual stress in 2024 aluminium alloy GTAW

Poolperm

Nakkiew

Naksuk

2020

Mater. Res. Express

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Simulations of the welding process for butt joints using finite element analysis (FEA) of the effect of porosity are presented. The metal used was aluminium alloy (grade 2024), and the filler material was alloy ER5356. The simulations were performed using the commercial software ANSYS, considering a double ellipsoid heat source, temperature-dependent material properties, material deposits, mechanical analysis, transient heat transfer, and defects (porosity). In this study, the FEA simulations were constructed for two types of heat source (singleand double-ellipsoid) used in gas tungsten arc welding (GTAW), and the calculated residual stress results were compared with the experimental values. Two double ellipsoid models were constructed for cases with and without porosity. The porosity was measured by three-dimensional (3D) computed tomography (CT), and the size and location of pores were mapped onto the weld bead created by the birth-and-death technique.

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“…Three numerical methods are considered in the following: An initial constant temperature of the welding seam's elements, constant heat flux and the well known Goldak heat source distribution [11]. The Goldak's double-ellipsoid heat source distribution was taken as the reference welding simulation process, as it is widely used in the literature ( [12][13][14]). The constant starting temperature technique [15] and the volumetric heat flux [16] were compared with Goldak's double-ellipsoid model to appreciate the differences in the simulated thermal behavior of the three models.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Heat Sources for the Simulation of the Temperature Distribution in Gas Metal Arc Welded Joints

Chiocca

Frendo

Bertini

2019

Metals

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Residual stresses can affect both the static strength and the fatigue endurance of welded joints. Residual stresses can be assessed by numerical simulation; however, the simulation of the welding process is a complex task that requires knowledge of several parameters, many of which can only be estimated with some uncertainty. The reduction in the number of these parameters can lead to a more feasible and efficient study. In this work, the finite element method is used to assess the capability of different thermal methods used to simulate a single pass of the gas metal arc welding process in reproducing the temperature distribution around the weld. Results of the simulations are compared to experimental measurements of the surface temperature close to the welding area. The thermal techniques analyzed adopt different levels of complexity, from the basic implementation of a constant initial temperature assigned to a given material volume, to the more comprehensive and widespread Goldak's double-ellipsoid model. The study shows that, close to the weld seam, very similar thermal behaviors can be achieved by employing each one of the analyzed methods. Secondly, considering the constant initial temperature method, the comparison between experimental measurements and numerical simulations showed a fairly good agreement, suggesting that a relatively simple method (i.e., requiring the setting of only one parameter) can be used to efficiently reproduce the thermal history of a welding process.

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Experimental and finite element analysis of residual stress and distortion in GTA welding of modified 9Cr-1Mo steel

Cited by 46 publications

References 29 publications

Effect of Plasma Arc Welding on Residual Stress and Distortion of Thin Titanium Sheet

Effect of Plasma Arc Welding on Residual Stress and Distortion of Thin Titanium Sheet

Finite element analysis of the effect of porosity on residual stress in 2024 aluminium alloy GTAW

Evaluation of Heat Sources for the Simulation of the Temperature Distribution in Gas Metal Arc Welded Joints

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