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Acta Metall Sin  2015, Vol. 51 Issue (6): 713-723    DOI: 10.11900/0412.1961.2014.00464
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NUMERICAL ANALYSIS OF FLUID FLOW IN LASER+GMAW HYBRID WELDING
Guoxiang XU1(),Weiwei ZHANG1,Peng LIU1,Baoshuai DU2
1 Key Laboratory of Advanced Welding Technology of Jiangsu Province, Jiangsu University of Science and Technology, Zhenjiang 212003
2 Shandong Electric Power Institute, Jinan 250062
Cite this article: 

Guoxiang XU, Weiwei ZHANG, Peng LIU, Baoshuai DU. NUMERICAL ANALYSIS OF FLUID FLOW IN LASER+GMAW HYBRID WELDING. Acta Metall Sin, 2015, 51(6): 713-723.

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Abstract  

Laser+gas metal arc welding(GMAW) hybrid welding fully combines the merits of both laser welding and GMAW, which can achieve high quality, high efficiency and comparatively low-cost welding of thin and thick plate, thus having great application prospect in manufacturing industry. However, compared with single heat source welding, hybrid welding involves more welding parameters and more complicated physical process, leading to difficult process optimization. When mismatching the process parameters, welding defects can still appear in high-speed welding, which affects the reliability of hybrid welding. Therefore, it is necessary to study the physical mechanism in hybrid welding deeply for suppressing welding defects and improving welding stability. In hybrid welding, fluid flow in weld pool has a critical influence on the weld formation. So, modeling and simulating the fluid flow is helpful for understanding the process mechanism completely. To date, however, there is only little study on velocity field in hybrid welding due to its complexity. In this work, with considering the effects of droplet and keyhole on weld pool, a three dimensional transient model is developed to numerically analyze fluid flow in weld pool of laser+GMAW hybrid welding based on FLUENT software. Arc heat input is modeled using an double-ellipsoid heat source; laser heat input is regarded as a hyperbolic curve-rotated heat source with changing peak power density, its distribution parameters being determined based on the simplified model for keyhole geometry and size. Droplet transfer is described as the process of high temperature liquid metal flowing into weld pool from the certain domain above the weld pool. Using the built model, the keyhole behavior, fluid flow and temperature distribution in laser+GMAW hybrid welding under different welding conditions are calculated. The features of velocity field in hybrid welding are analyzed and the effect of laser power on the weld pool dynamic behavior is discussed. The results show that, in the case of 1 m/min, weld bead hump is generated in single GMAW (laser power 0 W); when laser power is 500 W, bead hump disappears in welding, but there is no keyhole emerging in hybrid weld pool and fluid flow pattern is close to that in GMAW. When increasing laser power to 2000 W, keyhole is formed, which makes the fluid flow in weld pool more complicated. The predicted weld geometries and dimensions for varied laser powers are compared with the measured data, which are in good agreement, thereby indicating accuracy and applicability of the established model.

Key words:  hybrid welding      weld pool      fluid flow      keyhole      numerical simulation     
Fund: Supported by National Natural Science Foundation of China (No.51105182) and Open Fund for Jiangsu Provincial Key Laboratory for Advanced Welding Technology (No.10622010101)

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https://www.ams.org.cn/EN/10.11900/0412.1961.2014.00464     OR     https://www.ams.org.cn/EN/Y2015/V51/I6/713

Fig.1  Schematic of laser+gas metal arc welding (GMAW) hybrid welding
Fig.2  Geometric model of calculation domain
Fig.3  Temperature and flow field distributions at longitudinal section of weld pool in GMAW for 0.3 s (a), 0.6 s (b), 1.1 s (c) and 2 s (d) with laser power PL=0 W (The white lines with arrows are used to illustrate the calculated fluid flow patterns more clearly)
Fig.4  Experimental (a) and calculated (b) results of weld bead top surface in GMAW
Fig.5  Temperature and flow field distributions of weld pool at cross section in GMAW for 0.5 s (a), 0.6 s (b), 1.2 s (c) and 1.5 s (d) with PL=0 W and x=21 mm
Fig.6  Temperature and flow field distributions at longitudinal section of hybrid weld pool for 0.3 s (a), 0.6 s (b), 1.0 s (c) and 1.4 s (d) with PL=500 W
Fig.7  Temperature and flow field distributions at cross section of hybrid weld pool for 0.5 s (a), 1.0 s (b), 1.1 s (c) and 1.3 s (d) with PL=500 W and x=21 mm
Fig.8  Temperature and flow field distributions at longitudinal section of hybrid weld pool for 0.3 s (a), 0.6 s (c), 1.0 s (b) and 1.4 s (d) with PL=2000 W
Fig.9  Temperature and flow fields at cross section of weld pool in hybrid welding for 0.44 s (a), 0.5 s (b), 0.8 s (c) and 1.2 s (d) with PL=2000 W and x=20 mm
Fig.10  Temperature and flow field distributions at longitudinal section of hybrid weld pool with PL=500 W and welding rate 2 m/min
Fig.11  Comparison of experimental (a, c, e) and calculated (b, d, f) weld bead top surfaces in hybrid welding with PL=500 W at welding rates 1 m/min (a, b) and 2 m/min (c, d) and PL=2000 W at 1 m/min (e, f)
Fig.12  Comparison of experimental (a, c) and calculated (b, d) weld cross sections in hybrid welding with PL=500 W (a, b) and PL=2000 W (c, d)
[1] Defalco J. Weld J, 2007; 86(10): 47
[2] Graf T, Staufer H. Weld J, 2003; 82(1): 42
[3] Staufer H. Weld J, 2007; 86(10): 36
[4] Bagger C, Olsen F O. J Laser Appl, 2005; 17: 2
[5] Mahrle A, Beyer E. J Laser Appl, 2006; 18: 169
[6] Gao M, Zeng X Y, Hu Q W, Yan J. Trans China Weld Inst, 2008; 29(6): 85 (高 明, 曾晓雁, 胡乾午, 严 军. 焊接学报, 2008; 29(6): 85)
[7] Wu C S. Thermal Process and Weld Pool Behavior. Beijing: China Machine Press, 2007: 5 (武传松. 焊接热过程与熔池形态. 北京: 机械工业出版社, 2007: 5)
[8] Cho M H, Farson D F. Weld J, 2007; 86(9): 253
[9] Le Guen E, Fabbro R, Carin M, Coste F, Le Masson P. Opt Laser Technol, 2011; 43: 1155
[10] Bendaoud I, Matte? S, Cicala E, Tomashchuk I, Andrzejewski H. Opt Laser Technol, 2014; 56: 334
[11] Atabaki M M, Nikodinovski P, Chenier P, Liu W, Kovacevic R. Opt Laser Technol, 2014; 59: 68
[12] Xu G X, Wu C S, Qin G L, Wang X Y. Acta Metall Sin, 2012; 48: 1033 (胥国祥, 武传松, 秦国梁, 王旭友. 金属学报, 2012; 48: 1033)
[13] Xu G X, Wu C S, Qin G L, Ou H L. China Weld, 2011; 20(1): 22
[14] Xu G X, Wu C S, Qin G L, Wang X Y, Lin S Y. J Eng Manuf, 2011; 225: 528
[15] Xu G X, Wu C S, Qin G L, Wang X Y, Lin S Y. Int J Adv Manuf Technol, 2011; 57: 245
[16] Xu G X, Wu C S, Qin G L, Wang X Y, Lin S Y. Acta Metall Sin, 2009; 45: 107 (胥国祥, 武传松, 秦国梁, 王旭友, 林尚扬. 金属学报, 2009; 45: 107)
[17] Zhang Z Z, Xu G X, Wu C S. Acta Metall Sin, 2011; 47: 1045 (张转转, 胥国祥, 武传松. 金属学报, 2011; 47: 1045)
[18] Kong F R, Ma J J, Kovacevic R. J Mater Process Technol, 2011; 211: 1102
[19] Xu G X, Wu C S, Qin G L, Wang X Y. Acta Metall Sin (Engl Lett), 2013; 26: 352
[20] Zhang T, Wu C S, Qin G L, Wang X Y, Lin S Y. Comput Mater Sci, 2010; 47: 848
[21] Cho J H, Na S J. Weld J, 2009; 88(2): 35
[22] Cho I W, Na S J, Cho M H, Lee J S. Comput Master Sci, 2010; 49: 172
[23] Zhou J, Tsai H L. Int J Heat Mass Trans, 2008; 51: 4353
[24] Wang R P. PhD Dissertation, Beijing University of Technology, 2011 (汪任凭. 北京工业大学博士学位论文, 2011)
[25] Gao Z G. PhD Dissertation, Shanghai Jiaotong University, 2009 (高志国. 上海交通大学博士学位论文, 2009)
[26] Zhang T, Wu C S, Feng Y H. Numerical Heat Transfer, 2011; 60A: 685
[27] Voller V R, Prakash C. Int J Heat Mass Transfer, 1987; 30: 1709
[28] Jin X Z, Peter B, Thomas G. J Phys, 2006; 39D: 4703
[29] Semak V V, Matsunawa A. J Phys, 1997; 809D: 30
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