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Pulsed laser induced mechanical behavior of Zircaloy-4

Published online by Cambridge University Press:  27 January 2015

Sooil Kim
Affiliation:
Department of Mechanical Engineering, Sogang University, Mapo-go, Seoul 121-742, Republic of Korea
Woo-Ju Lee
Affiliation:
Department of Mechanical Engineering, Sogang University, Mapo-go, Seoul 121-742, Republic of Korea
Quhon Han
Affiliation:
Department of Mechanical Engineering, Sogang University, Mapo-go, Seoul 121-742, Republic of Korea
Dongchoul Kim*
Affiliation:
Department of Mechanical Engineering, Sogang University, Mapo-go, Seoul 121-742, Republic of Korea
*
a)Address all correspondence to this author. e-mail: [email protected]
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Abstract

The mechanical behavior of a Zircaloy-4 sheet as induced by a pulsed laser was studied with an accurately developed computational process that was validated with experiments. A modified Gaussian model of the heat source and the use of experimentally obtained thermal and mechanical properties of Zircaloy-4 in the computational process provided reliable simulation results of the phase transition and mechanical deformation of Zircaloy-4. A parametric study of the pulsed laser welding conditions of Zircaloy-4 was undertaken using the developed computational process. The analyzed parameters were the laser power, pulse duration, and pulse frequency. The simulation results revealed that the deformation was significantly dependent on the geometry of the molten zone and the heat-affected zone, which can be designed by the analyzed laser parameters.

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Articles
Copyright
Copyright © Materials Research Society 2014 

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References

REFERENCES

Weckman, D.C., Kerr, H.W., and Liu, J.T.: The effects of process variables on pulsed Nd:YAG laser spot welds: 2. AA 1100 aluminum and comparison to AISI 409 stainless steel. Metall. Mater. Trans. B 28(4), 687 (1997).CrossRefGoogle Scholar
Tzeng, Y.F.: Process characterisation of pulsed Nd:YAG laser seam welding. Int. J. Adv. Manuf. Technol. 16(1), 10 (2000).CrossRefGoogle Scholar
Pan, L.K., Wang, C.C., Hsiao, Y.C., and Ho, K.C.: Optimization of Nd:YAG laser welding onto magnesium alloy via Taguchi analysis. Opt. Laser Technol. 37(1), 33 (2005).CrossRefGoogle Scholar
Dadras, S., Torkamany, M.J., and Sabbaghzadeh, J.: Spectroscopic characterization of low-nickel copper welding with pulsed Nd:YAG laser. Opt. Lasers Eng. 46(10), 769 (2008).CrossRefGoogle Scholar
Rosenthal, D.: The theory of moving sources of heat and its application to metal treatments. Trans. Am. Soc. Mech. Eng. 68, 849 (1946).CrossRefGoogle Scholar
Mazumder, S. and Modest, M.F.: A stochastic Lagrangian model for near-wall turbulent heat transfer. J. Heat Transfer 119(1), 46 (1997).CrossRefGoogle Scholar
Frewin, M.R. and Scott, D.A.: Finite element model of pulsed laser welding. Weld. J. 78(1), 15s (1999).Google Scholar
De, A., Maiti, S.K., Walsh, C.A., and Bhadeshia, H.K.D.H.: Finite element simulation of laser spot welding. Sci. Technol. Weld. Joining 8(5), 377 (2003).CrossRefGoogle Scholar
He, X., Fuerschbach, P.W., and DebRoy, T.: Heat transfer and fluid flow during laser spot welding of 304 stainless steel. J. Phys. D: Appl. Phys. 36(12), 1388 (2003).CrossRefGoogle Scholar
Tsirkas, S.A., Papanikos, P., and Kermanidis, T.: Numerical simulation of the laser welding process in butt-joint specimens. J. Mater. Process. Technol. 134(1), 59 (2003).CrossRefGoogle Scholar
Darcourt, C., Roelandt, J.M., Rachik, M., Deloison, D., and Journet, B.: Thermomechanical analysis applied to the laser beam welding simulation of aeronautical structures. J. Phys. IV 120, 785 (2004).Google Scholar
Siefken, L.J., Coryell, E.W., Harvego, E.A., and Hohorst, J.K.: SCDAP/RELAP5/MOD 3.3 Code Manual: MATPRO—A Library of Materials Properties for Light-Water-Reactor Accident Analysis, Vol. 4, 2001.Google Scholar
Tsoukantas, G. and Chryssolouris, G.: Theoretical and experimental analysis of the remote welding process on thin, lap-joined AISI 304 sheets. Int. J. Adv. Manuf. Technol. 35(9–10), 880 (2008).CrossRefGoogle Scholar
Salonitis, K., Stavropoulos, P., Fysikopoulos, A., and Chryssolouris, G.: CO2 laser butt-welding of steel sandwich sheet composites. Int. J. Adv. Manuf. Technol. 69(1–4), 245256 (2013).CrossRefGoogle Scholar
Stournaras, A., Salonitis, K., Stavropoulos, P., and Chryssolouris, G.: Theoretical and experimental investigation of pulsed laser grooving process. Int. J. Adv. Manuf. Technol. 44(1–2), 114 (2009).CrossRefGoogle Scholar
Martinson, P., Daneshpour, S., Kocak, M., Riekehr, S., and Staron, P.: Residual stress analysis of laser spot welding of steel sheets. Mater. Des. 30(9), 3351 (2009).CrossRefGoogle Scholar
Zhang, W., Roy, G.G., Elmer, J.W., and DebRoy, T.: Modeling of heat transfer and fluid flow during gas tungsten arc spot welding of low carbon steel. J. Appl. Phys. 93(5), 3022 (2003).CrossRefGoogle Scholar
Jeong, Y.H., Rheem, K.S., Choi, C.S., and Kim, Y.S.: Effect of beta-heat treatment on microstructure and nodular corrosion of Zircaloy-4. J. Nucl. Sci. Technol. 30(2), 154 (1993).CrossRefGoogle Scholar
Fink, J.K. and Leibowitz, L.: Thermal-conductivity of zirconium. J. Nucl. Mater. 226(1–2), 44 (1995).CrossRefGoogle Scholar
Northwood, D.O. and Rosinger, H.E.: Influence of oxygen on the elastic properties of Zircaloy-4. J. Nucl. Mater. 89(1), 147154 (1980).CrossRefGoogle Scholar
Jeong, Y.H., Choi, C.S., and Rheem, K.S.: Effect of cooling rate on mechanical properties in Zircaloy-4 alloy. J. Korean Inst. Met. 29(2), 104 (1991).Google Scholar
Wu, C.S., Hu, Q.X., and Gao, J.Q.: An adaptive heat source model for finite-element analysis of keyhole plasma arc welding. Comput. Mater. Sci. 46(1), 167 (2009).CrossRefGoogle Scholar
Magee, C.L. and Paxton, H.W.: Transformation kinetics, microplasticity and aging of martensite in Fe-31 Ni. PhD Thesis, Carnegie Institute of Technology. 309 (1966).Google Scholar
Chang, W.S. and Na, S.J.: Prediction of laser-spot-weld shape by numerical analysis and neural network. Metall. Mater. Trans. B 32(4), 723 (2001).CrossRefGoogle Scholar