Abstract
This paper proposed a dynamic control of gas metal arc welding GMAW process to operate in a short-circuiting mode and free-flight modes (mixed, globular, and spray); the GMAW modeling was based on a nonlinear state-space model of five variables. This model showed that the simulation results of welding current and welding voltage under different metal transfer modes MTMs were very similar to the experimental results of the GMAW process (Pipe Worx 400); furthermore, the welding arc stability was revealed for each type of MTM. For the estimation of the droplets detachment frequency DDF for each MTM, several studies were based on the inclusion of a high-speed camera; meanwhile, this paper proposed the inclusion of a welding current sensor connected to a dSPACE DS1103 through the communication channel for the application of two suggested spectroscopic techniques presented by the single-sided amplitude spectrum (SSAS), and the power spectral density (PSD) by using the Hamming window. This investigation showed thresholding of empirical mode decomposition EMD was performed to denoise the experimental welding currents, and also illustrated a comparison between SSAS and PSD techniques in terms of performance evaluation of the simulation model and experimental welding currents for each MTM, The obtained results showed that the PSD technique was more accurate than the SSAS in the DDF estimation under the different MTMs.
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This work was supported by the Research Center in Industrial Technologies CRTI, P.O. Box 64, Cheraga 16014, Algiers, Algeria crti.dz.
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Benaouda, O.F., Mezaache, M., Bouchakour, M. et al. Estimation of the droplet detachment frequency using SSAS and PSD techniques in GMAW process under different transfer modes. Int J Adv Manuf Technol 126, 1979–1996 (2023). https://doi.org/10.1007/s00170-023-11125-6
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DOI: https://doi.org/10.1007/s00170-023-11125-6