Numerical Simulation of the Welding Process — Distortion and Residual Stress Prediction, Heat Source Model Determination

2005 ◽  
Vol 49 (11-12) ◽  
pp. 15-29 ◽  
Author(s):  
M. Slováček ◽  
V. Diviš ◽  
L. Junek ◽  
V. Ochodek
Keyword(s):  
Numerical Simulation ◽  
Residual Stress ◽  
Heat Source ◽  
Welding Process ◽  
Source Model ◽  
Heat Source Model ◽  
Stress Prediction ◽  
Model Determination

Numerical Simulation of the Prestressed Laser Welding of 7075－T7451 Aluminum Alloy Sheet

2010 ◽  
Vol 431-432 ◽  
pp. 13-16 ◽  
Author(s):  
Hong Feng Wang ◽  
Dun Wen Zuo ◽  
Hong Miao ◽  
Hong Jun Wang
Keyword(s):  
Numerical Simulation ◽  
Residual Stress ◽  
Welding Process ◽  
Source Model ◽  
Alloy Sheet ◽  
Welding Residual Stress ◽  
Aluminum Alloy Sheet ◽  
Heat Source Model ◽  
Element Simulation ◽  
Input Model

The heat source model and the heat input model were built by analyzing welding process. The rationalities of model were verified by finite element simulation. The method of prestressed welding was employed in order to reduce welding residual stress. The welding residual stress would be widely impacted by imposed prestress of 90% yield strength welding. At the same time the propagation of welding heat cracking in the heat-affected zone was properly controlled by prestressed welding.

Research and Application Status of Arc Welding Heat Source Model for T-Joint Numerical Simulation

2010 ◽  
Vol 154-155 ◽  
pp. 1423-1426
Author(s):  
Li Jia ◽  
Yong Zou ◽  
Zeng Da Zou ◽  
Yong Sheng Zhao ◽  
Qu Shi Yao
Keyword(s):  
Numerical Simulation ◽  
Heat Source ◽  
Arc Welding ◽  
Welding Process ◽  
Source Model ◽  
Heat Source Model ◽  
Existing Problems ◽  
Basic Work ◽  
Simulation Based ◽  
Temperature Filed

During numerical simulation of welding process, the temperature field simulation is fundamental for simulating other issues of welding process, and establishing the heat source model is the most basic work for temperature filed simulation. Based on the analysis and induction of arc welding heat source model used in T-joint welding simulation, points out the existing problems and future development direction of heat source model for T-joint, provides a reference for further research and practical application.

Numerical and Experimental Studies of Residual Stresses in Multipass Welding of High Strength Shipbuilding Steel

2015 ◽  
Vol 59 (03) ◽  
pp. 133-144
Author(s):  
Guangming Fu ◽  
Tetyana Gurova ◽  
Marcelo I. Lourenco ◽  
Segen F. Estefen
Keyword(s):  
Neural Network ◽  
Numerical Simulation ◽  
Heat Source ◽  
Residual Stresses ◽  
Experimental Studies ◽  
Source Model ◽  
Fe Model ◽  
Offshore Platforms ◽  
Heat Source Model ◽  
Shipbuilding Industry

The article contributes, through numerical simulation based on models calibrated by experimental results, to better estimate residual stresses and distortions in welded structures representatives of ships and offshore platforms considering welding procedures relevant to shipyard current practices. A multi-pass welding is carried out to investigate the residual stresses in laboratory tests. The temperature at several positions on a plate sample is recorded with thermocouples and residual stresses are measured using an x-ray diffraction technique. Finite element (FE) models are developed in this study and experimentally validated. The three dimensional (3D) moving Goldak's double-ellipsoidal heat source model is employed in the simulations. A Levenberg-Marquardt neural network algorithm is employed to determine the geometric parameters of the heat source model. The technique based on neural network is applied to dimension the heat source later employed in the thermal analysis using 2D FE model to reduce the computer time of the numerical simulation and to make it feasible for shipbuilding industry applications. The numerical results of temperature and residual stress distribution are correlated with the experimental measurements. Finally, the effects of preheat and interpass temperatures on the residual stresses are investigated using numerical simulation. The effects of the transient releasing temperature on the residual stresses are also discussed.

A Uniform-Gaussian distributed heat source model for analysis of residual stress field of S355 steel T welding

2018 ◽  
Vol 126 ◽  
pp. 1-8 ◽  
Author(s):  
Tianci Li ◽  
Lele Zhang ◽  
Chao Chang ◽  
Liang Wei
Keyword(s):  
Residual Stress ◽  
Stress Field ◽  
Heat Source ◽  
Source Model ◽  
Residual Stress Field ◽  
Heat Source Model

scholarly journals Numerical Analysis of the Influence of Electrode Inclination on Temperature Distribution during GMAW Overlaying

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Jerzy Winczek ◽  
Marek Gucwa ◽  
Miloš Mičian ◽  
Krzysztof Makles
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Theoretical Model ◽  
Temperature Distribution ◽  
Numerical Analysis ◽  
Heat Source ◽  
Analytical Description ◽  
Source Model ◽  
Heat Source Model ◽  
Inclination Angles

In the work, an analysis of the influence of electrode inclination on the distribution of temperature in the weld overlaying has been conducted. In the analytical description of the temperature field, a volumetric heat source model with an inclined axis with respect to the direction of surfacing was adopted. In the numerical simulation, the own theoretical model of heat source, algorithm, and program performed in the Borland Delphi environment were used. In the calculation examples, different electrode inclination angles were adopted in relation to the welded plate, in the direction of surfacing, opposite to the direction of welding, and perpendicular to the weld bead.

The Role of Goldack Double Ellipsoidal Parameters in Temperature Distribution for the GTAW Process

2020 ◽  
Author(s):  
A Karpagaraj ◽  
SURESH KUMAR S ◽  
S Thamizhmanii ◽  
Arun Nelliappan T ◽  
Siva Shanmugam N ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Temperature Distribution ◽  
Heat Source ◽  
Source Parameters ◽  
Welding Process ◽  
Source Model ◽  
Depth Of Penetration ◽  
Factorial Method ◽  
Gtaw Process ◽  
Full Factorial

Abstract Numerical simulation is widely used in all the fields of engineering to predict the results. In welding, various finite element tools are used to predict the bead profile, temperature distribution, joint strength, formability and metallurgical changes etc. With respect to the welding process suitable heat source model has to be assigned for numerical simulation. The most suitable heat source for Gas Tungsten Arc Welding (GTAW) process is the Goldack double ellipsoidal model. This model has few parameters like the width of the weld (a), depth of penetration (b), front profile ellipse (Cf) and rear ellipse profile (Cr). In this research article, the influence of these parameters and their effect on the temperature distribution is focused. For this purpose, based on the full factorial design welding simulations are performed with COMSOL. Later, the grey relational technique was used to find the contribution of these parameters. It was concluded from the full factorial method that; temperature variation is depended on the GTAW welding heat source parameters. At 95% confidence level, the width of the weld showed a major role in controlling the temperature. Moreover, the optimum combination of process variables obtained end with minimum temperature rise at a width of 0.7 mm, depth of 5.7 mm and frontal factor of 4.

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