Numerical Studies on Heat Transfer and Fluid Flow during Laser Welding of Thin Sheet

Article Preview

Abstract:

Numerical simulation of heat transfer and fluid flow analysis of laser welding is essential to understand the physics of fluid motion, thermal cycles, heating and cooling rate and its effect on the formation of the final weld bead profile. The fusion geometry, weld thermal cycles, temperature and velocity field will vary depending on the welding process parameters. The influence of process parameters on the formation of weld bead geometry was analyzed in this study. In the simulation a plane Gaussian profile heat source was used to model the laser beam considering the equations of mass, momentum and energy. It was observed that due to the difference in surface tension coefficient the fluid moves from the central region of the molten pool to the outside. Increase in beam power or decrease in welding speed resulted in a high heating rate and less cooling rate due to high heat input. The simulated bead profiles were compared with the experimentally measured profile and was found to be in agreement.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

571-578

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Xiangzhong Jin, Lijun Li and Yi Zhang, A Heat transfer model for deep penetration laser welding based on an actual keyhole, International Journal of Heat and Mass Transfer, Vol. 46, (2003) p.15–22.

DOI: 10.1016/s0017-9310(02)00255-7

Google Scholar

[2] Kamel Abderrazak, Sana Bannour, Hatem Mhiri, Georges Lepalec, Michel Autric, Numerical and experimental study of molten pool formation during continuous laser welding of AZ91 magnesium alloy, Journal of Computational Materials Science, Vol. 44, (2009).

DOI: 10.1016/j.commatsci.2008.06.002

Google Scholar

[3] He, X., Fuerschbach, P W., DebRoy, T. Heat Transfer and Fluid Flow during Laser Spot Welding Of Stainless Steel 304, Journal Physics D: Applied Physics, Vol. 36, (2003) p.1388–1398.

DOI: 10.1088/0022-3727/36/12/306

Google Scholar

[4] Balasubramanian, K.R., Sankaranarayanasamy, K., Buvanashekaran, G. Analysis of Laser welding parameters using artificial neural network, International Journal for the Joining of Materials, Vol. 18 No. 3/4, (2006), pp.99-104.

Google Scholar

[5] Balasubramanian, K.R., Buvanashekaran, G., Sankaranarayanasamy, K., Modeling of laser beam welding of stainless steel sheet butt joint using neural networks, CIRP Journal of Manufacturing Science and Technology, Vol. 3, (2010) pp.80-84.

DOI: 10.1016/j.cirpj.2010.07.001

Google Scholar

[6] Achin Mahrle., Jurgen Schmidt, The Influence of Fluid Flow Phenomena on the Laser Beam Welding Process', International Journal of heat and fluid flow, Vol. 23, (2002) pp.288-297.

DOI: 10.1016/s0142-727x(02)00176-5

Google Scholar

[7] Hanbin, D., Lunji, H., Jianhua, L. and Xiyuan, H. A study on the metal flow in full penetration laser beam welding for titanium alloy, Computational Materials Science, Vol. 29, (2004) p.419–427.

DOI: 10.1016/j.commatsci.2003.11.002

Google Scholar

[8] L. Han, F.W. Liou (2004) Numerical investigation of the influence of laser beam mode on melt pool, International Journal of Heat and mass Transfer, Vol . 47, pp.4385-4402.

DOI: 10.1016/j.ijheatmasstransfer.2004.04.036

Google Scholar

[9] Fluent. Inc. Fluent 6. 2, (2003) User's guide.

Google Scholar

[10] Chang W. S and Na S. J, A study on heat source equations for the prediction of weld shape and thermal deformation in laser microwelding, Metallurgical and Materials Transactions B, Vol. 33, (2001) pp.757-764.

DOI: 10.1007/s11663-002-0029-y

Google Scholar

[11] Voller, V.R., Prakash, C, A fixed grid numerical modelling methodology for convection diffusion mushy region phase change problem', International Journal of Heat and Mass Transfer, Vol. 30, (1987) p.1709–1719.

DOI: 10.1016/0017-9310(87)90317-6

Google Scholar

[12] Chakraborty, S., Dutta, P. A generalized formula for evaluation of latent heat function in enthalpy based macroscopic model for convection diffusion phase change process, Metallurgical and Materials Transactions B, Vol. 32, (2001) p.562–564.

DOI: 10.1007/s11663-001-0042-6

Google Scholar

[13] Voller, V.R., Swaminathan, C.R. General source based method for solidification phase change, Numerical Heat Transfer Part B, Vol. 19, (1991) p.175–189.

DOI: 10.1080/10407799108944962

Google Scholar

[14] Mazumder, J., Steen, W. M, Heat transfer model for CW laser material processing', Journal of Applied Physics, Vol. 51, No. 2, (1980) p.941–947.

DOI: 10.1063/1.327672

Google Scholar

[15] Yang, L.X., Peng, X.F., Wang B.X., Numerical modeling and experimental investigation on the characteristics of molten pool during laser processing, International Journal of Heat and Mass Transfer, Vol. 44, (2001) pp.4465-4473.

DOI: 10.1016/s0017-9310(01)00086-2

Google Scholar

[16] Rai, R., Elmer, J W., Palmer, T A., Debroy, T., Heat Transfer Fluid Flow during Keyhole Laser Welding of Tantalum, Ti-6Al-4V, 304L Stainless Steel and Vanadium', Journal Physics D: Applied Physics, Vol. 40, (2007) pp.5753-5766.

DOI: 10.1088/0022-3727/40/18/037

Google Scholar

[17] Farzadi A., Serajzadeh, S., Kokabi A. H., Modeling of heat transfer and fluid flow during gas tungsten arc welding of commercial pure aluminum', International Journal of Advanced Manufacturing Technology, Vol. 38 (2008) p.258–267.

DOI: 10.1007/s00170-007-1106-9

Google Scholar