Abstract
In accordance to the characteristics of the arcing phase and the short-circuiting phase in the welding process, and in consideration of the variations of arc length, liquid bridge volume, and resistance, a metal transfer dynamic model and a welding circuit model have been developed, respectively. Based on the two models and some assumptions (such as the droplet-displacement equation during short-circuiting phase and the initial parameters of the arcing phase), an improved “mass-spring” model for describing the whole process of short-circuiting transfer (SCT) (includes arcing phase and short-circuiting phase) have been put forward. In addition, the model is proposed to predict the dynamic process with variation of welding parameters continuously, and the calculated results are compared with the experimental. The results demonstrate that the predicted short-circuiting frequency and average equivalent radius of contact droplets (just before short-circuiting) are in broad agreement with the experimental, and the equivalent radius of contact droplet of the two has an approximate uniform discrete distribution zone. Finally, an electrical signal is simulated, and comparative analysis is carried out.
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Reference
Waszink JH, Graat HL (1983) Experimental investigation of the forces acting on a drop of weld metal. Weld J 62(4):108–116
Thomsen JS (2004) Advanced control methods for optimization of arc welding. Department of Control Engineering, Aalborg University
Kim YS, Eagar TW (1993) Analysis of metal transfer in gas metal arc welding. Weld J 72(6):269–278
Choi SK, Yoo CD, Kim YS (1998) Dynamic simulation of metal transfer in GMAW, part 1: globular and spray transfer modes. Weld J 77(1):38–44
Simpson SW, Zhu PY (1995) Formation of molten droplets at a consumable anode in an electric welding arc. J Phys D Appl Phys 28(8):1594–1600. doi:10.1088/0022-3727/28/8/008
Gao ZG, Wu YX, Huang J (2009) Analysis of weld pool dynamic during stationary laser–MIG hybrid welding. Int J Adv Manuf Technol 44(9-10):870–879. doi:10.1007/s00170-008-1896-4
Watkins AD, Smartt HB, Johnson J (1992) A dynamic model of droplet growth and detachment in GMAW. Rec Tren Weld Sci Technol, ASM Int, Materials Park, Ohio, USA, pp 933–937
Jae HC, Jihye L, Choong DY (2001) Dynamic force balance model for metal transfer analysis in arc welding. J Phys D Appl Phys 34(17):2658–2664. doi:10.1088/0022-3727/34/17/313
Wu CS, Chen MA, Li SK (2004) Analysis of excited droplet oscillation and detachment in active control of metal transfer. Comput Mater Sci 31(1-2):147–154. doi:10.1016/j.commatsci.2004.02.002
Chen MA, Wu CS, Li SK (2007) Analysis of active control of metal transfer in modified pulsed GMAW. Sci Technol Welding Joining 12(1):10–14. doi:10.1179/174329306X131848
Ersoy U, Kannatey-Asibu E, Hu SJ (2008) Analytical modeling of metal transfer for GMAW in the globular mode. J Manuf Sci Eng 130(6): 061009 (8 pp.). doi: 10.1115/1.3006317
Kataoka T, Ikeda R, Yasuda K, Hirata Y (2009) Development of low spatter CO2 arc welding process with high frequency pulse current. Weld Int 23(5):353–359. doi:10.1080/09507110802542726
Tipi AD (2010) The study on the drop detachment for automatic pipeline GMAW system: free flight mode. Int J Adv Manuf Technol 50(1-4):137–147. doi:10.1007/s00170-010-2515-8
Choi SK, Yoo CD, Kim YS (1998) Dynamic simulation of metal transfer in GMAW-part 2: short-circuit transer mode. Weld J 77(1):45–51
Choi JH, Lee JY, Yoo CD (2001) Simulation of dynamic behavior in a GMAW system. Weld J 80(10):239–246
Tipi AD (2010) The study on the drop detachment for automatic pipeline GMAW system: short-circuit mode. Int J Adv Manuf Technol 50(1-4):149–161. doi:10.1007/s00170-010-2690-7
Zhu ZM, Wu W, Chen Q (2005) Random nature of droplet size and its origins in short circuit CO2 arc welding. Sci Technol Welding Joining 10(6): 636–642. doi: http://dx.doi.org/10.1179/174329305X48356
Moore KL, Naidu DS, Yender R, Tyler J (1997) Gas metal arc welding control: part I—modeling and analysis. Nonlinear Anal Theory Methods Appl 30(5):3101–3111. doi:10.1016/S0362-546X(97)00372-6
Szekely J (2012) Fluid flow phenomena in metals processing. Elsevier, London
Tipi AD, Hosseini SK, Pariz N (2014) Improving the dynamic metal transfer model of gas metal arc welding (GMAW) process. Int J Adv Manuf Technol 76(1-4):657–668. doi:10.1007/s00170-014-6307-4
Lancaster J (1986) The physics of welding. Pergamon, Oxford
D'Innocenzo A, Renna L (1996) Dripping faucet. Int J Theor Phys 35(5):941–973. doi:10.1007/BF02302382
Ushio M, Mao W (1996) Modelling of an arc sensor for DC MIG/MAG welding in open arc mode: study of improvement of sensitivity and reliability of arc sensors in GMA welding (1st report). Weld Int 10(8):622–631. doi:10.1080/09507119609549059
Tsai HL, Hu J (2007) Heat and mass transfer in gas metal arc welding. Part I: the arc. Int J Heat Mass Transf 50(5-6):833–846. doi:10.1016/j.ijheatmasstransfer.2006.08.025
Tsai HL, Hu J (2007) Heat and mass transfer in gas metal arc welding. Part II: the metal. Int J Heat Mass Transf 50(5-6):808–820. doi:10.1016/j.ijheatmasstransfer.2006.08.026
Hüpf T, Cagran C, Lohöfer G, Pottlacher G (2008) Electrical resistivity of high temperature metallic melts–Hf-3% Zr, Re, Fe, Co, and Ni. Density Determ Liq Met 37(3):239–246
Wang JJ, Lin T, Chen SB (2005) Obtaining weld pool vision information during aluminium alloy TIG welding. Int J Adv Manuf Technol 26(3):219–227. doi:10.1007/s00170-003-1548-7
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Wang, Y., Lü, X. & Jing, H. Dynamic simulation of short-circuiting transfer in GMAW based on the “mass-spring” model. Int J Adv Manuf Technol 87, 897–907 (2016). https://doi.org/10.1007/s00170-016-8538-z
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DOI: https://doi.org/10.1007/s00170-016-8538-z