Processing math: 85%
Wang Yaowei, Liu Wen, Chen Peng, Zhao Wenyong, Xu Guoxiang, Hu Qingxian. Effect of He-Ar shielding gas composition on the arc physical properties of laser-arc hybrid fillet welding: numerical modeling[J]. CHINA WELDING. DOI: 10.12073/j.cw.20240426027
Citation: Wang Yaowei, Liu Wen, Chen Peng, Zhao Wenyong, Xu Guoxiang, Hu Qingxian. Effect of He-Ar shielding gas composition on the arc physical properties of laser-arc hybrid fillet welding: numerical modeling[J]. CHINA WELDING. DOI: 10.12073/j.cw.20240426027

Effect of He-Ar shielding gas composition on the arc physical properties of laser-arc hybrid fillet welding: numerical modeling

More Information
  • Corresponding author:

    Wen Liu, Ph. D, Mainly engaged in additive manufacturing and materials processing. E-mail: liuwen200455@126.com

  • Received Date: 25 April 2024
  • Accepted Date: 24 February 2025
  • Available Online: 10 March 2025
  • A three-dimensional numerical model of laser-arc hybrid plasma for aluminum alloy fillet joints is developed in this study. This model accounts for the geometric complexity of fillet joints, the physical properties of shielding gases with varying He-Ar ratios, and the coupling between arc plasma and laser-induced metal plume. The accuracy of the model is validated using a high-speed camera. The effects of varying He contents in the shielding gas on both the temperature and flow velocity of hybrid plasma, as well as the distribution of laser-induced metal vapor mass, were investigated separately. The maximum temperature and size of arc plasma decrease as the He volume ratio increases, the arc distribution becomes more concentrated, and its flow velocity initially decreases and then sharply increases. At high helium content, both the flow velocity of hybrid plasma and metal vapor are high, the metal vapor is concentrated on the right side of keyhole, and its flow appears chaotic. The flow state of arc plasma is most stable when the shielding gas consists of 50% He + 50% Ar.

  • Laser-arc hybrid welding technology benefits from the laser-arc synergistic effect, which has the advantages of high welding speed, large weld penetration depth, good gap bridging ability, and the potential to inhibit the common weld porosity in aluminum alloys [12]. However, hybrid welding involves many welding parameters and a narrow process window, the process parameters are relatively difficult to optimize, and if these parameters are not properly matched, the performance of the welded joints will be easily affected [3]. The shielding gas in the welding process is crucial for the final quality of the weld. The appropriate shielding gas maintains stable arc combustion, improves welding speed, reduces welding defects, and improves weld penetration depth [4]. Therefore, an in-depth study of the effects of shielding gas composition on the arc physical properties in laser-arc hybrid welding is of great importance for improving welding stability and optimizing hybrid welding process parameters.

    Research indicates that an optimal shielding gas mixture can mitigate the adverse effects of plasma on welding stability and joint quality, thus improving weld formation stability and joint mechanical properties. Li et al. [5] found that reducing the angle of shielding gas application enhances the stability of liquid metal flow in the molten pool and reduces porosity. Kuk et al. [6] discovered that increasing the helium (He) gas ratio improves the fatigue strength of arc-welded joints, with the highest strength observed at a 67% He ratio. Zhang et al. [7] reported that the corrosion resistance of MIG welded joints improves with the addition of nitrogen to the shielding gas. Lei et al. [8] investigated the effect of different shielding gases on the porosity defects in laser-welded joints of aluminum alloys. They found that the addition of He to argon (Ar) could reduce the amount of plasma, thereby improving the stability of the keyhole, and effectively controlling the porosity defects to within 1%. Similarly, Chae et al. [9] used a high-power CO2 laser-GMAW hybrid welding method to weld shipboard steel plates and examined how different ratios of He-Ar shielding gas mixtures influenced the plasma and weld shape. The results showed that He had a superior inhibitory effect on CO2 laser plasma. Cai et al. [10] investigated the effect of an Ar-He gas mixture on the hybrid plasma temperature, electron density, weld penetration depth, and porosity defects in laser-MIG hybrid welding by using a high-speed camera and spectral detection. They found that as the He volume ratio increased, the plasma temperature and current density decreased, while the inhibition effect of the hybrid plasma on the laser weakened. This contributed to an increase in the weld penetration depth. The stability of keyholes improved when He accounted for 50%, and the weld porosity defects were effectively suppressed. Cai et al. [11] also found that the droplet transfer modes were either short-circuited or spherical when using the He-Ar alternating shielding gas, which periodically affected the weld penetration depth. The high cost of helium and the trial-and-error experiments require a lot of resources and time. In addition, these methods do not fully elucidate the mechanism by which the shielding gas composition in fluences the arc’s physical characteristics.

    To address the limitations of experimental means for investigating arc physical properties, scholars have increasingly turned to numerical simulations. These simulations allow for a deeper, quantitative understanding of the plasma physical phenomena and mechanisms under various shielding gases. Rao et al. [12] established a two-dimensional numerical model of the arc and found that different He-Ar gas compositions had a significant effect on the physical properties of the arc and the transition of the molten droplets. Yang et al. [13] established a numerical analysis model of the arc and compared the effect of different shielding gas flow rates on the MIG welding and the laser-arc hybrid welding. The results show that a high shielding gas flow rate can improve the stability of the droplet transfer and the process stability of hybrid welding is higher. Wang et al. [14] developed a unified three-dimensional hybrid welding numerical model to investigate the distribution of temperature, flow velocity, and pressure of rotary laser hybrid welding plasma under different He-Ar shielding gases. However, this study only achieved a maximum He content of 50%, and the process parameter window was relatively narrow. From the above-mentioned, it is evident that there is a lack of mathematical modeling studies focused on the physical characteristics of the hybrid welding arc for aluminum alloy fillet joints under different shielding gas components. Moreover, the existing studies are not sufficient to develop a comprehensive process parameter window.

    In this study, the effects of various shielding gases on the physical properties of laser-arc hybrid welding plasma for aluminum alloy fillet joints were investigated by both experimental and numerical simulations. A comprehensive three-dimensional model was developed to simulate the effects of shielding gas mixtures with varying He gas ratios on the temperature and flow velocity of arc plasma, as well as the distribution of laser-induced metal vapor mass. A high-speed camera was employed to observe the arc morphology during the welding process. By integrating experimental and simulation results, the influence mechanism of different ratios of shielding gas on the physical properties of hybrid plasma was analyzed, which is of great significance for expanding the welding process window.

    The 6061 aluminum alloy with dimensions of 150 mm × 50 mm × 5 mm and the ER5356 with a diameter of 1.2 mm were employed as the base material and filler material, respectively. The chemical compositions of these materials are detailed in Table 1. A 6 kW continuous-wave fiber laser (IPG YLS-6000) with a wavelength of 1075 nm, the focal length of 300 mm and the focal spot diameter of 0.3 mm was used. The MIG welding machine employed was the digital welding machine (Fronius TransPuls Synergic 4000).

    Table  1.  Chemical compositions of 6061 aluminum alloy and ER5356 (wt. %)
    Materials Si Fe Mg Cu Mn Cr Zn Ti Al
    6061 0.4−0.8 ≤ 0.7 0.8−1.2 0.15−0.4 0.15 0.04−0.35 0.25 ≤ 0.15 Balance
    ER5356 ≤ 0.25 ≤ 0.4 4.5−5.5 ≤ 0.1 0.05−0.2 0.05−0.2 ≤ 0.1 0.06−0.2 Balance
     | Show Table
    DownLoad: CSV

    The laser-leading welding method was employed and the laser-arc distance is 2 mm, the angles between laser and MIG welding torch are 30° and hybrid welding torch is tilted 45° relative to the horizontal plate, as shown in Fig. 1. The welding parameters used are: laser power of 3 kW, welding speed of 0.6 m/min, current of 160 A, shielding gas flow rate of 20 L/min, and welding voltage auto-matching. The shielding gas mixture ratios are 100%Ar, 50%Ar + 50%He, and 100%He, respectively. During the welding process, a high-speed camera system (an auxiliary light source and a high-speed CP80-3-M540 camera) was used to record the arc behavior, the position of hybrid welding torch and high-speed camera was fixed, while data collection was achieved by a stepper-controlled moving welding platform.

    Figure  1.  Schematic diagram of laser-MIG hybrid fillet welding system ( mm )

    The calculation of hybrid welding arc characteristics is extensive, due to the hybrid arc involves various physical phenomena and the coupling of laser-induced plumes (such as laser-induced plasma and metal vapor) with the arc plasma. To simplify the calculations and enhance convergence, the following simplifications are made to the model. The arc is a laminar, incompressible ideal Newtonian fluid. The high temperature metal vapor and droplets generated in the molten pool are not considered. The laser-induced plume is simplified to metal vapor ejected from a keyhole.

    The governing equations for mass, momentum and energy involved in the numerical analysis are as follows, respectively [1415]. Mass

    (ρv)+ρt=0 (1)

    where ρ denotes the density, v represents the velocity vector.

    Momentum

    ρvit+x(ρvvi)=Px+x[(2μvix)23v]+y[μ(viy+vjx)]+z[μ(viz+vkx)]+jjBkjkBj (2)
    ρvjt+y(ρvvj)=Py+y[(2μvjy)23v]+z[μ(vjz+vky)]+z[μ(vjx+viy)]+jkBijiBk (3)
    ρvkt+y(ρvvk)=Pz+z[(2μvky)23v]+x[μ(vkx+viz)]+y[μ(vky+vjz)]+jiBjjjBi (4)

    where vi, vj and vk are the velocity vectors along the x, y, and z axes, respectively; P denotes the pressure; μ is the viscosity coefficient; ji, jj and jk denote the current density components in the three directions and Bi, Bj and Bk indicate the induced magnetic field intensity components along the three axes, respectively.

    Energy

    ρhet+(ρvhe)=(kcphe)+jx2+jy2+jz2σe4πζ+5kB2ejT+Qlaser (5)

    where he represents the enthalpy; cp, σe, kB, ζ are the specific heat capacity, electrical conductivity, Boltzmann constant and net radiation coefficient associated with the material, respectively. On the right side of the equation, the second, third, and fourth terms denote the Joule heat, heat lost to the outside, and heat of electron migration, respectively; Q denotes the lost laser energy.

    Electromagnetic field equation

    Current continuity equation

    x(σeϕx)+y(σeϕy)+z(σeϕz)=0 (6)

    Current density component

    {jx=σeϕxjy=σeϕyjz=σeϕz (7)

    where ϕ is the electric potential.

    Magnetic field components

    2Aix2+2Aiy2+2Aiz2=μ0ji (8)
    2Ajy2+2Ajx2+2Ajz2=μ0jj (9)
    2Akz2+2Aky2+2Akx2=μ0jk (10)
    {Bi=AkyAjzBj=AizAkxBk=AjxAiy (11)

    where Ai, Aj and Ak are the magnetic vector components along the x, y and z axes, respectively; µ0 is the vacuum permeability.

    Metal vapor transport equation

    t(ρfv)+(ρvfv)=(ρDfv) (12)

    where fv is the mass fraction of metal vapor and D is the diffusion coefficient, calculated using the viscosity approximation equation.

    D=22(1m1+1m2)12{(ρ12/β12η12m1)14+(ρ22/β22η22m2)14}2 (13)

    where m1 and m2 denote the molar masses of aluminum and mixed shielding gases, respectively; ρ1, ρ2, η1, and η2 represent the densities and viscosity of aluminum metal vapor and shielding gases, respectively; β1 and β2 are dimensionless constants. For gases such as Ar, He, H2, N2, O2 and CO2, β1 and β2 are theoretically in the range of 1.2 to 1.543 [16], this paper assumes β1 = β2 = 1.3 [17].

    The metal vapor plasma is assumed to be ejected at high velocity from the keyhole and described its generation using the component transport equation. The parameters of the high-speed ejection of laser-induced plasma at the keyhole, such as temperature and velocity, are referenced from the relevant model established by Dilthey et al. [18]. This model elucidates the dynamic interplay among the keyhole radius, plasma temperature, and laser energy density highlighting their mutual dependencies. The relationship between the temperature of the laser-induced plasma and the laser energy density is expressed as follows:

    T=0.00425I+3240.38462,0.20mm<R (14)

    where T is the plasma temperature, I is laser energy density, R is the keyhole radius.

    The ejection velocity of metal vapor is determined according to the laser keyhole surface metal vapor flow model established by Amara et al. [19]. The formula is as follows:

    {V_g} = \sqrt {\kappa \frac{{L{T_k}}}{{{m_a}}}} (15)

    where κ is the specific heat capacity, L is the ideal gas constant, Tk is the temperature at the keyhole surface, and {m}_{a} is the atomic mass.

    The model boundary conditions are shown in Fig. 2a. The welding wire tip is designated as the anode, while its remaining surfaces are defined as the wall. The upper surface of the model is designated as the inlet for shielding gas and the lower surface of the workpiece is assigned as the cathode. The keyhole region is configured as the velocity inlet for laser-induced metal vapor eruption, and the remaining boundaries are set as pressure outlet. The length of calculation area along the welding direction is 25 mm, the model height is 7 mm, the initial arc length is 5 mm, and the laser arc distance is 2 mm, as displayed in Fig. 2b. In this study, a non-uniform mesh was used to discretize the model, employing a finer grid with a minimum mesh size of 0.2 mm in areas around the weld wire and the laser-induced metal vapor eruption. Conversely, a coarser grid with a maximum mesh size of 0.3 mm was applied to the remaining regions. Additionally, a variable time step strategy was adopted, with a minimum time step of 10−6 s. The high-temperature thermal physical properties of metallic aluminum vapor, argon gas, and helium gas were referenced from [20]. For the physical properties of helium-argon mixtures and aluminum metal vapors, values were interpolated linearly as described in references [2123].

    Figure  2.  Schematic diagram of model: (a) boundary conditions, (b) calculation domain ( mm )

    To analyze the physical properties of arc plasma more clearly, different cross-sections are selected as illustrated in Fig. 3. Specifically, cross-section 1 and cross-section 2 represent the locations of the welding wire and the laser-induced metal vapor, respectively.

    Figure  3.  Schematic representation of selected transverse and longitudinal sections

    Since the peak temperature of the arc plasma varies with shielding gas composition, and its distribution becomes localized near the electrode tip when exceeding 16000 K, the color scale for temperature in all figures is set to a range of 2000 K–16000 K to enhance the contrast in arc distribution characteristics. The same range is applied to the color scale of the arc plasma velocity field throughout subsequent sections. Fig. 4 shows the distributions of arc plasma temperature field in the transverse and longitudinal section by various shielding gas compositions. It is observed that the hybrid shielding gases with different He contents have a significant effect on the temperature distribution of the arc plasma. In the longitudinal section, the temperature distribution range of hybrid plasma decreases as the He content increases. When the He content reaches 100%, the distribution length of the hybrid plasma in the x-direction is 12 mm, compared to 24 mm for pure Ar. With He and Ar both at 50% in the shielding gas, the size of the hybrid plasma on the electrode’s left side decreases significantly. As the He volume fraction increases to 100%, the overall size of the arc plasma reduces to half of its initial size, as shown in Fig. 4(a1−c1). Meanwhile, the maximum temperature of the hybrid plasma decreases significantly to 25088.9 K, 20970.2 K, and 18493 K. Initially, the peak temperature of the plasma decreases substantially, but the rate of decrease slows down over time. Similar variations in arc temperature have been observed in references [10, 14], which indirectly supports the validity of the developed model.

    Figure  4.  Arc temperature distributions in the transverse and longitudinal section for various shielding gas: (a) 100%Ar; (b) 50%He + 50%Ar; (c) 100%He

    In cross-section, the arc plasma is symmetrically distributed along the electrode direction. Due to the limitations of the cross-sectional size, the overall dimensions of the hybrid plasma remain relatively constant. However, the temperature variation pattern is consistent with that observed in the longitudinal section, decreasing from 25068.9 K to 20702.2 K and then to 18237.5 K, respectively. Compared to pure argon gas, He gas has higher ionization energy and thermal conductivity, resulting in a smaller plasma size and lower temperature. Previous literature [10, 2425] indicates that the shielding effect of plasma generated by a He-Ar mixed shielding gas on the laser is weakened. Therefore, He-Ar mixed shielding gas is beneficial for improving weld penetration depth.

    Fig. 5 shows the distribution of arc plasma velocity in the cross section and longitudinal section under different shielding gas proportions. The arc plasma flows at high speed along the electrode direction. After reaching the workpiece surface, most of it flows to the right along the positive x direction. At the keyhole, it intersects with the laser-induced metal plume and subsequently deflects upward and to the right. Unlike the temperature trend of the plasma, its flow velocity first decreases and then sharply increases with an increasing He volume ratio, and its flow velocities are 319.3 m/s, 265.3 m/s and 893 m/s, respectively. When the He content is 100%, the flow morphology of the arc plasma is significantly affected by the laser-induced metal plume, as shown in Fig. 5(c1). Additionally, cross-sectional observations reveal that the arc plasma is no longer symmetrically distributed along the electrode, which may adversely affect weld formation.

    Figure  5.  Hybrid plasma velocity in the transverse and longitudinal section for various shielding gas: (a) 100%Ar, (b) 50%He + 50%Ar, (c) 100%He

    Fig. 6 shows the distributions of laser-induced metal vapor in the transverse and longitudinal section under different shielding gas proportions. It is observed that, the maximum aluminum metal vapor mass fraction is observed near the keyhole on the workpiece surface, aluminum metal vapor is ejected upward from the keyhole at a high speed, and deflected to the right after meeting the arc plasma during movement. When using pure Ar and 50% He + 50% Ar, the distribution of metal vapor remains stable, and its eruption height is slightly reduced. When pure He is used, the metal distribution state becomes complex and chaotic, depicted in Fig. 6c, and the plasma is even more biased to the vertical plate side, which undermines the stability of the hybrid plasma. Based on the analysis, the gas Ar has a good effect of arc initiation and stabilization [12, 26]. However, increasing helium content in the shielding gas while reducing argon content can inhibit arc stability. Although helium can enhance weld penetration depth, excessively high helium levels are detrimental to arc stability [10].

    Figure  6.  Metal vapor in the transverse and longitudinal section for various shielding gas: (a) 100%Ar, (b) 50%He + 50%Ar, (c) 100%He

    Fig. 7 and Fig. 8 compare the calculated arc plasma morphology and size with measured data for various shielding gas compositions. The results show that the plasma shapes obtained from simulation and experiment are basically consistent, indicating that the established model can accurately reflect the physical properties of hybrid arc plasma under different shielding gas compositions. The arc in the actual welding process is influenced by various external factors, and the established model simplifies some of these physical interactions. Additionally, the model does not fully incorporate the high-temperature properties of materials and shielding gases, resulting in a certain degree of discrepancy between experimental and computational results. Our research team is committed to further studies to reduce these errors.

    Figure  7.  Comparison of experimental detection and calculation results of arc plasma morphology: (a) 100%Ar, (b) 50%He + 50%Ar, (c) 100%He
    Figure  8.  Comparison of calculated arc plasma sizes with experimental data: (a) Arc length, (b) Arc height

    (1) A comprehensive three-dimensional model has been developed, accounting for the geometric complexity of filled joints, the physical properties of various shielding gas components, and the coupling of the arc plasma and laser-induced plume. The model analyzes the temperature and velocity distribution of the hybrid plasma under different shielding gas conditions. Its accuracy is validated by comparing the calculated results with experimental data.

    (2) With the increase of shielding gas He content, the arc distribution becomes more concentrated, the size and maximum temperature of the hybrid plasma decreases, and its inhibition effect on the laser is weakened, which is conducive to improving the weld penetration. The flow rate of the hybrid plasma initially decreases but then rises sharply. Under pure helium, the metal vapor is concentrated on the right side of keyhole and its flow appears chaotic, and the plasma is more stable when the shielding gas is 50% He + 50% Ar.

    This work is financially supported by the National Natural Science Foundation of China (Grant No.52375340, 51975263, 52405366).

    Yaowei Wang: Writing–original draft, software, formal analysis, data curation, conceptualization. Wen Liu : Investigation, project administration, funding acquisition. Peng Chen : Data curation, software. Wenyong Zhao: Writing – review & editing, software. Guoxiang Xu: Conceptualization, supervision, project administration, funding acquisition, writing–review & editing. Qingxian Hu: Conceptualization, supervision, formal analysis.

    The authors declare that they have no conflict of interests.

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