Influence of Various Methods of Modelling the Welding Process in the CAE Environment on the Obtained Deformation Results
Tomasz Zadorożny
a:1:{s:5:"en_US";s:84:"Departament of Mechanical Engineering, PhD School, Silesian University of Technology";}Marcin Kalinowski
Departament of Mechanical Engineering, PhD School, Silesian University of TechnologyMirosław Szczepanik
Faculty of Mechanical Engineering, Institute of Computational Mechanics and Engineering, Silesian University of TechnologyAbstract
By simulating the welding process, potential non-conformities can be detected before serial production is launched, which can significantly reduce operation costs. There are many different possibilities for modeling the process, therefore it is very important to choose a method that will ensure high accuracy of the solution in a relatively short time. The article will present the influence of various methods of modeling the welding process in the CAE environment on the obtained deformation results. For the given geometry and type of weld, the thermal deformations have been simulated based on the Finite Element Method. Several analyzes were carried out using different process modeling approaches (mesh type). Finally, a comparison of the results for the discussed cases is presented to determine the influence of the parameters used on the deformation results obtained.
Keywords:
process simulation, FEM, CAE, welding, heat deformationReferences
AALAMI-ALEAGHA M.E., ESLAMPANAH A. 2012. Mechanical constraint effect on residual stress and distortion in T-fillet welds by three-dimensional finite element analysis. Proceedings of the Institution of Mechanical Engineers - Part B, 227(2): 315-323. Google Scholar
BARSOUM Z., LUNDBACK A. 2001. Simplified FE welding simulation of fillet welds – 3D effects on the formation residual stresses. Engineering Failure Analysis, 16(9): 2281-2289. Google Scholar
COSIMO A., CARDONA A., IDELSOHN S.R. 2010. General treatment of essential boundary conditions in reduced order models for non-linear problems. Advanced Modeling and Simulation in Engineering Sciences, 3(1): 626-636. Google Scholar
FRICKE S., KEIM E., SCHMIDT J. 2001. Numerical weld modeling – a method for calculating weld-induced residual stresses. Nuclear Engineering and Design, 206(2-3): 139-150. Google Scholar
GIMENEZ G., ERRERA M., BAILLIS D., SMITH Y., PARDO F. 2015. Analysis of Dirichlet-Robin interface condition in transient conjugate heat transfer problems. Application to a flat plate with convection. European Conference on Turbomachinery Fluid Dynamics and Thermodynamics, Madrid. Google Scholar
LIANG W., MURUKAWA H., DENG D. 2015. Investigation of welding residual stress distribution in a thick-plate joint with an emphasis on the features near weld end-start. Materials & Design, 67: 303-312. Google Scholar
MAZUMDER S. 2016. Numerical methods for partial differential equations. Finite difference and finite volume methods. Elsevier, Amsterdam. Google Scholar
ROSCA A.S., ROSCA D. 2006. About using the Dirichlet boundary conditions in heat transfer equation solved lay finite element method. International Jurnal of Computers, Communications & Control, 1: 405-409. Google Scholar
SZABO T. 2010. On the Discretization Time-Step in the Finite Element Theta-Method of the Two-Dimensional Discrete Heat Equation. Large-Scale Scientific Computing, 591: 626-636. Google Scholar
VENKATKUMAR D., DURAIRAJ R. 2019. Effect of Boundary Conditions on Residual Stresses and Distortion in 316 Stainless Steel Butt Welded Plate. High Temperature Materials and Processes, 38: 827-836. Google Scholar
WEN S.W., HILTON P., FARRUGIA D.C.J. 2009. Finite element modelling of a submerged arc welding process. Journal of Materials Processing Technology, 119(1-3): 203-209. Google Scholar
ZADOROŻNY T., SZCZEPANIK M. 2020. Numerical simulation of the welding process, the influence of constraint points locations on thermal deformations. Scientific-Expert conference on reilways RAILCON 2020, Nis, p. 145-148. Google Scholar
ZIENKIEWICZ O.C., TAYLOR R.L., ZHU J.Z. 2013. The Finite Element Method: Its Basis and Fundamentals. Elsevier, Amsterdam. Google Scholar
a:1:{s:5:"en_US";s:84:"Departament of Mechanical Engineering, PhD School, Silesian University of Technology";}
Departament of Mechanical Engineering, PhD School, Silesian University of Technology
Faculty of Mechanical Engineering, Institute of Computational Mechanics and Engineering, Silesian University of Technology
