DESIGN OF AN ELECTRONIC CONTROL SYSTEM FOR AUTOMATING THE GMAW WELDING PROCESS

Taufik Fajar; Rafge Cahya Pramana; I Wayan Adiyasa

doi:10.21831/jamat.v2i2.2465

Authors

Taufik Fajar Universitas Negeri Yogyakarta
Rafge Cahya Pramana Universitas Negeri Yogyakarta
I Wayan Adiyasa Universitas Negeri Yogyakarta

DOI:

https://doi.org/10.21831/jamat.v2i2.2465

Keywords:

Automation, Control system, GMAW, Travel speed

Abstract

This study aims to design and implement an electronic control system to automate the GMAW welding process, focusing on precise control of travel speed and travel length parameters. The methodology includes needs analysis, system design, implementation, and testing. The results show that the system can regulate welding speed with an accuracy of 92.54%–99.44% and a maximum time standard deviation of 0.038 seconds. For welding length control, the system recorded an average absolute error of 0.35–0.5 mm, a percentage error of 0.17%–0.7%, and a standard deviation below 0.051 mm. In real-world testing, the actual weld length deviation ranged from 0.20 to 1.71 mm, remaining within the ISO 13920 Class D tolerance limits. The system successfully enables precise control of welding parameters within a speed range of 100–800 mm/min and a length range of 50–300 mm, while also reducing direct operator intervention, thereby supporting safer and more consistent welding operations.

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References

[1] N. Fonna, Pengembangan revolusi industri 4.0 dalam berbagai bidang. Guepedia, 2019.

[2] D. Mishra, S. K. Pal, and D. Chakravarty, “Industry 4.0 in welding,” in Welding Technology, Springer, 2021, pp. 253–298.

[3] A. Aloraier, A. Albannai, A. Alaskari, M. Alawadhi, and S. Joshi, “TBW technique by varying weld polarities in SMAW as an alternative to PWHT,” International Journal of Pressure Vessels and Piping, vol. 194, p. 104505, 2021, doi: https://doi.org/10.1016/j.ijpvp.2021.104505.

[4] K. Velmurugan, R. Ravisankar, S. Vigneshwaran, K. Karthik, J. Deshwin, and A. Krishana, “Automatic Multi Purpose Welding Device,” International Journal of Engineering Research & Technology (IJERT.ORG), vol. 14, no. 07, Jul. 2025.

[5] S. Puthussery and E. L. Secco, “Design and Integration of a Robotic Welding Parameterized Procedure for Industrial Applications,” Spektrum Industri, vol. 22, no. 1, pp. 60–76, 2024.

[6] H. Nakashima, A. Utsunomiya, J. Takahashi, N. Fujii, and T. Okuno, “Hazard of ultraviolet radiation emitted in gas metal arc welding of mild steel,” J Occup Health, vol. 58, no. 5, pp. 452–459, Sep. 2016, doi: 10.1539/joh.16-0065-OA.

[7] M. A. Rojas Nova, L. M. Calderon Vergel, A. D. Pertuz Comas, and O. Bohorquez Becerra, “Effect of Travel Speed in Arc Welding Processes using the Finite Element Method,” Ciencia en Desarrollo, vol. 12, no. 2, pp. 67–72, 2021.

[8] D. Mishra, S. K. Pal, and D. Chakravarty, “Industry 4.0 in welding,” in Welding Technology, Springer, 2021, pp. 253–298.

[9] J.-M. Lim et al., “Recent Advances in CNC Technology: Toward Autonomous and Sustainable Manufacturing,” International Journal of Precision Engineering and Manufacturing, pp. 1–34, 2025.

[10] S. K. Mohammed, M. H. Arbo, and L. Tingelstad, “Using semantic Geometric Dimensioning and Tolerancing (GD &T) information from STEP AP242 neutral exchange files for robotic applications,” International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 18, no. 9, pp. 6587–6603, 2024.