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Numerical simulation of dynamic behavior in controlled short-circuit transfer process

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Abstract

There is a high demand for increased efficiency and quality in welding, especially for gas metal arc welding, which has wide industrial applications. Moreover, the independent control of the heat input and the deposition rate is also important for some applications such as dissimilar material welding and the wire arc additive manufacturing process which needs low heat input despite a higher deposition rate. A controlled short-circuit transfer process is expected to be a high-quality and high-productivity process. In this process, short-circuit transfer is stably and periodically repeated to enable the low heat input and high deposition rate, and the independent control of the heat input and the deposition rate was achieved to a certain extent. However, control factors for the heat input and the deposition rate in this process are not clear enough because of the lack of investigations for the process. In this study, we have explored the welding phenomena of a controlled short-circuit transfer process by developing an arc-electrode unified model. In this model, short-circuit transfer process was conducted, including the extinction and the reignition of the arc plasma, and the dynamic behavior of the arc and the molten metal was observed. The results observed were in good agreement with the experimental measurements. Furthermore, we also determined the control factors for the heat input to electrodes.

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References

  1. Pickin CG, Young K (2006) Evaluation of cold metal transfer (CMT) process for welding aluminium alloy. Sci Technol Weld Join 11:583–585. https://doi.org/10.1179/174329306X120886

    Article  CAS  Google Scholar 

  2. Fan HG, Kovacevic R (2004) A unified model of transport phenomena in gas metal arc welding including electrode, arc plasma and molten pool. J Phys D Appl Phys 37:2531–2544. https://doi.org/10.1088/0022-3727/37/18/009

    Article  CAS  Google Scholar 

  3. Murphy AB (2013) Influence of metal vapour on arc temperatures in gas–metal arc welding: convection versus radiation. J Phys D Appl Phys 46:224004. https://doi.org/10.1088/0022-3727/46/22/224004

    Article  CAS  Google Scholar 

  4. Ogino Y, Hirata Y (2016) A unified numerical model of MIG welding process. Q J Jpn Weld Soc 34:35–41. (in Japanese). https://doi.org/10.2207/qjjws.34.35

    Article  CAS  Google Scholar 

  5. Murphy AB (2010) The effects of metal vapour in arc welding. J Phys D Appl Phys 43:434001. https://doi.org/10.1088/0022-3727/43/43/434001

    Article  CAS  Google Scholar 

  6. Cram LE (1985) Statistical evaluation of radiative power losses from thermal plasmas due to spectral lines. J Phys D Appl Phys 18:401–411. https://doi.org/10.1088/0022-3727/18/3/009

    Article  CAS  Google Scholar 

  7. Sansonnens L, Haidar J, Lowke JJ (2000) Prediction of properties of free burning arcs including effects of ambipolar diffusion. J Phys D Appl Phys 33:148–157. https://doi.org/10.1088/0022-3727/33/2/309

    Article  CAS  Google Scholar 

  8. Amsden AA, Harlow FH (1970) The SMAC method: a numerical technique for calculating incompressible fluid flows. Los Alamos Scientific Laboratory LA-4370, New Mexico

    Google Scholar 

  9. Hirt CW, Nichols BD (1981) Volume of fluid (VOF) method for the dynamics of free boundaries. J Comput Phys 39:201–225. https://doi.org/10.1016/0021-9991(81)90145-5

    Article  Google Scholar 

  10. Brackbill JU, Kothe DB, Zemach C (1991) A continuum method for modeling surface tension. J Comput Phys 100:335–354. https://doi.org/10.1016/0021-9991(92)90240-Y

    Article  Google Scholar 

  11. Albadawi A, Donoghue DB, Robinson AJ, Murray DB, Delauré YMC (2013) Influence of surface tension implementation in volume of fluid and coupled volume of fluid with level set methods for bubble growth and detachment. Int J Multiphase Flow 53:11–28. https://doi.org/10.1016/j.ijmultiphaseflow.2013.01.005

    Article  CAS  Google Scholar 

  12. Menart J, Malik S (2002) Net emission coefficients for argon-iron thermal plasmas. J Phys D Appl Phys 35:867–874. https://doi.org/10.1088/0022-3727/35/9/306

    Article  CAS  Google Scholar 

  13. Wilke CR (1950) A viscosity equation for gas mixtures. J Chem Phys 18:517–519. https://doi.org/10.1063/1.1747673

    Article  CAS  Google Scholar 

  14. Murphy AB (1996) A comparison of treatments of diffusion in thermal plasmas. J Phys D Appl Phys 29:1922–1932. https://doi.org/10.1088/0022-3727/29/7/029

    Article  CAS  Google Scholar 

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Correspondence to Satoshi Eda.

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Recommended for Publikation by Study Group 212 - The Physics of Welding

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Eda, S., Ogino, Y. & Asai, S. Numerical simulation of dynamic behavior in controlled short-circuit transfer process. Weld World 64, 353–364 (2020). https://doi.org/10.1007/s40194-019-00837-7

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