Optimization of Thermal and Discretization Parameters in Laser Welding Simulation Nd:YAG Applied for Shin Plate Transparent Mode Of DP600

Three dimensional analysis of thermal model in laser full penetration welding, Nd:YAG, by transparent mode DP600 alloy steel 1.25mm of thickness and gap of 0.1mm. Three models studied the influence of thermal dependent temperature properties, thermal independent temperature and the effect of peak value of specific heat at phase transformation temperature, AC1, on the transient temperature. Another seven models studied the influence of discretization, meshes on the temperature distribution in weld plate. It is shown that for the effects of thermal properties, the errors less 4% of maximum temperature in FZ and HAZ have identified. The minimum value of discretization are at least one third increment per radius for temporal discretization and the spatial discretization requires two elements per radius and four elements through thickness of the assembled plate, which therefore represent the minimum requirements of modeling for the laser welding in order to get minimum errors less than 5% compared to the fine mesh.

Authors:

• Chansopheak Seang
• Afia David Kouadri
• Eric Ragneau

Keywords:

• FEA
• welding
• discretization
• ABAQUS user subroutine DFLUX

References:

[1] H. Al-Kazzaz, M. Medraj, X. Cao, and M. Jahazi. Nd:yag laser welding
of aerospace grade ze41a magnesium alloy: Modeling and experimental
investigations. Materials Chemistry and Physics, 109(1):61 - 76, 2008.
[2] Dean Deng. Fem prediction of welding residual stress and distortion in
carbon steel considering phase transformation effects. Materials &
Design, 30(2):359 - 366, 2009.
[3] Paolo Ferro, Andrea Zambon, and Franco Bonollo. Investigation of
electron-beam welding in wrought inconel 706-experimental and
numerical analysis. Materials Science and Engineering: A, 392(1-2):94 -
105, 2005.
[4] D. Gery, H. Long, and P. Maropoulos. Effects of welding speed, energy
input and heat source distribution on temperature variations in butt joint
welding. Journal of Materials Processing Technology, 167(2-3):393 -
401, 2005. International Forum on the Advances in Materials Processing
Technology.
[5] J. Ronda, Y. Estrin, and G. J. Oliver. Modelling of welding. a
comparison of a thermo-mechano-metallurgical constitutive model with
a thermo-viscoplastic material model. Journal of Materials Processing
Technology, 60(1-4):629 - 636, 1996. Proceedings of the 6th
International Conference on Metal Forming.
[6] T. Schenk, I.M. Richardson, M. Kraska, and S. Ohnimus. Modeling
buckling distortion of dp600 overlap joints due to gas metal arc welding
and the influence of the mesh density. Computational Materials Science,
46(4):977 - 986, 2009.
[7] Muhammad Zain ul Abdein, Daniel Nelias, Jean-François Jullien, and
Dominique Deloison. Prediction of laser beam welding-induced
distortions and residual stresses by numerical simulation for aeronautic
application. Journal of Materials Processing Technology, 209(6):2907 -
2917, 2009.
[8] L. Zhang, E. W. Reutzel, and P. Michaleris. Finite element modeling
discretization requirements for the laser forming process. International
Journal of Mechanical Sciences, 46(4):623 - 637, 2004.
[9] X. K. Zhu and Y. J. Chao. Effects of temperature-dependent material
properties on welding simulation. Computers & Structures, 80(11):967 -
976, 2002.
[10] BERGHEAU,J. Modélisation numérique de soudage. Technique de
l'ingénieur, BM 7 758 -1-15, 2004.
[11] John A. Goldak and Mehdi Akhlaghi, Computation welding mechanics,
77-78, Springer 2005.