Angular Distortion Analysis on Multipassed Welding of Combined Joint Types Using Thermo-Elastic-Plastic FEM

2011 ◽  
Vol 314-316 ◽  
pp. 315-318 ◽  
Author(s):  
Robert Ngendang A. Lidam ◽  
Yupiter H.P. Manurung ◽  
M. Ridhwan ◽  
M.A.R. Ridzwan ◽  
M. Shahar S. ◽  
...  
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Management Tool ◽  
Angular Distortion ◽  
Base Line ◽  
Elastic Plastic ◽  
Metal Arc Welding ◽  
Distortion Analysis ◽  
Computation Management ◽  
2D And 3D

A 2D and 3D thermo-elastic-plastic (TEP) FE Analysis has been developed to simulate the angular distortion induced by Gas Metal Arc Welding (GMAW) process on combination of butt and T-joint with thickness of 9 mm. The material used in this study was low alloy Manganese Carbon steel S355J2G3. In this research, SYSWELD 2010 with its computation management tool known as Multipassed Welding Advisor (MPA) was used to analyze the distortion behaviour of combined joint types. To model the heat source of GMAW, Goldak’s double ellipsoid representation which is available within this FEA code was selected. The final objective of this research is hence aimed to be base line study to provide preliminary information in preparing the tools or equipments for experimental investigation.

scholarly journals Simulation Study on Multipassed Welding Distortion of Combined Joint Types using Thermo-Elastic-Plastic FEM

2012 ◽  
Vol 9 (2) ◽  
pp. 1 ◽  
Author(s):  
RN Lidam ◽  
HPM Yupiter ◽  
MR Redza ◽  
MR Rahim ◽  
MS Sulaiman ◽  
...  
Keyword(s):  
Finite Element ◽  
Heat Source ◽  
Gas Metal Arc Welding ◽  
Management Tool ◽  
Angular Distortion ◽  
Welding Distortion ◽  
Source Modeling ◽  
Element Analysis ◽  
Elastic Plastic ◽  
Metal Arc Welding

This paper investigates the angular distortion induced by the gas metal arc welding (GMAW) process on the combined butt and T-joint with a thickness of 9 mm. The material used in this study was low manganese carbon steel S355J2G3. A 2-D and 3-D thermo-elastic-plastic finite element (FE) analysis has been developed to simulate the induced distortion of multipassed welding. In this research, SYSWELD 2010 with its computation management tool, known as multipassed welding advisor (MPA), was applied to analyze the distortion behavior of combined joint types. To model the heat source of GMAW, Goldak's double ellipsoid representation, which is available within this finite element analysis (FEA) code was selected. Prior to the results discussion, this paper also shows the step-bystep procedures to simulate combined jointing which begins with metallurgical and customized heat source modeling, and is followed by creating geometrical mesh using Visual-Mesh 6.5 for analyzing and processing the results. Apart from 2-D and 3-D comparison analysis, the final objective of this research is also aimed to be a baseline study to provide preliminary information in preparing the tools and equipment for experimental investigation. 

Tandem laser-gas metal arc welding joining of 20 mm thick super duplex stainless steel: An experimental and numerical study

2020 ◽  
Vol 234 (5) ◽  
pp. 697-710
Author(s):  
A Mathieu ◽  
I Tkachenko ◽  
JM Jouvard ◽  
I Tomashchuk
Keyword(s):  
Numerical Simulation ◽  
Heat Source ◽  
Laser Beam ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Image Correlation ◽  
Angular Distortion ◽  
Metal Arc Welding ◽  
Welded Structure ◽  
Welding Processes

The present work covers the topic of strains and stresses prediction in case of welded steel structures. Steel sheets of 20 mm thickness made in UR™2507Cu are welded using a laser and gas metal arc welding processes combination. The focused laser beam leads the arc in a Y-shape chamfer geometry. Both sources are 20 mm apart from each other in order to avoid any synergic effect with each other. In order to predict residual strain, a 3D unsteady numerical simulation has been developed in COMSOL finite element software. A volume heat source has been identified based on the temperature measurements made by 10 K-type thermocouples, implanted inside the workpiece. The 50 mm deep holes are drilled in the workpiece using dye-sinking Electrical Discharge Machining (EDM) machine. Before the implantation in the hole, each thermocouple is surrounded by Inconel sheathing. Hot junctions of the thermocouples are positioned in a way to feel two advancing molten pools. The equivalent heat source is composed of three sources. First one is a Goldak source that represents the molten pool induced by gas metal arc welding. The second one is a cylinder with an elliptic cross-section that represents the focused laser beam penetrating into the workpiece. The third one is a surface Gaussian source that represents energy radiated by arc and blocked by workpiece surface. Concerning mechanical simulation, an elasto-plastic behavior with isotropic hardening is implemented. A weak coupling is established between equations governing heat transfer and mechanics thanks to the temperature dependent coefficient of linear expansion. This numerical simulation made with some simplifying assumptions predicts an angular distortion and a longitudinal shrinkage of the welded structure. The numerical results are consistent with the displacements measured by digital image correlation method.

scholarly journals Two gas metal arc welding process dataset of arc parameters and input parameters

Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106790
Author(s):  
Rogfel Thompson Martinez ◽  
Guillermo Alvarez Bestard ◽  
Sadek C. Absi Alfaro
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Process ◽  
Metal Arc Welding ◽  
Input Parameters ◽  
Arc Welding Process

scholarly journals Out-of-Control Multivariate Patterns Recognition Using D2 and SVM: A Study Case for GMAW

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 467
Author(s):  
Pamela Chiñas-Sanchez ◽  
Ismael Lopez-Juarez ◽  
Jose Antonio Vazquez-Lopez ◽  
Jose Luis Navarro-Gonzalez ◽  
Aidee Hernandez-Lopez
Keyword(s):  
Arc Welding ◽  
New Technologies ◽  
Gas Metal Arc Welding ◽  
Industrial Processes ◽  
Support Vector ◽  
Innovative Method ◽  
Metal Arc Welding ◽  
Vector Machines ◽  
Study Case ◽  
Multivariate Pattern

Industrial processes seek to improve their quality control, including new technologies and satisfying requirements for globalised markets. In this paper, we present an innovative method based on Multivariate Pattern Recognition (MVPR) and process monitoring in a real-world study case. By identifying a distinctive out-of-control multivariate pattern using the Support Vector Machines (SVM) and the Mahalanobis Distance D2 it is possible to infer the variables that disturbed the process; hence, possible faults can be predicted knowing the state of the process. The method is based on our previous work, and in this paper we present the method application for an automated process, namely, the robotic Gas Metal Arc Welding (GMAW). Results from the application indicate an overall accuracy up to 88.8%, which demonstrates the effectiveness of the method, which can also be used in other MVPR tasks.

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