The Effects of Welding Parameters on Butt Joints using Robotic Gas Metal Arc Welding
DOI:
https://doi.org/10.15282/jmes.6.2014.26.0096Keywords:
Robotic gas metal arc welding; butt joint; low carbon steel; tensile strengthAbstract
Robotic gas metal arc welding (GMAW) is one of the most popular welding methods in the manufacturing industries. The main focus of this paper is how welding parameters affect the joining process. The butt joint will be used in this study to identify suitable welding parameters for welding voltage, welding current and welding speed. The experiment involves using a specimen of low carbon steel A1008 as base metal and AWS ER 70S-6 as the filler metal in the butt joint process. The joint was tested to determine the tensile strength, which is identified as the main characteristic of the weld, and the hardness of the weld is also recorded. The results show that a welding voltage of 24 volts, current of 200- 220 ampere, and speed of 45-50cm/min gave the highest tensile hardness of 239.05 MPa (180HV).
References
American Society for Testing and Materials, A. (Vol. E 8M – 03, pp. 1-3). Structural welding code-steel (2004).
Charde, N. (2012a). Characterization of spot weld growth on dissimilar joints with different thicknesses. Journal of Mechanical Engineering and Sciences, 2, 172-180.
Charde, N. (2012b). Effects of electrode deformation of resistance spot welding on 304 austenitic stainless steel weld geometry. Journal of Mechanical Engineering and Sciences, 3, 261-270.
Charde, N. (2013). Microstructure and fatigue properties of dissimilar spot welds joints of aisi 304 and aisi 1008. International Journal of Automotive and Mechanical Engineering, 7, 882-899.
Greyjevo, O. G. T. V. Z., & Metodo, A. I. T. (2009). Optimization of weld bead geometry in tig welding process using grey relation analysis and taguchi method. Materiali in tehnologije, 43(3), 143-149.
Kukiełka, L. (1989). Designating the field areas for the contact of a rotary burnishing element with the rough surface of a part, providing a high-quality product. Journal of Mechanical Working Technology, 19, 319-356.
Lopez-Juarez, I., Rios-Cabrera, R., & Davila-Rios, I. (2010). Implementation of an intelligent robotized gmaw welding cell, part 2: Intuitive visual programming tool for trajectory learning.
Manning, R., Ewing, J. (2009). .RACQ Vehicles Technologies. (2009). Temperatures in cars survey. RACQ Vehicles Technologies, 1-21.
Rafiqul, M. I., Ishak, M., & Rahman, M. M. (2012). Effects of heat input on mechanical properties of metal inert gas welded 1.6 mm thick galvanized steel sheet. IOP Conference Series: Materials Science and Engineering, 36(1).
Rahman, M. M., Arrifin, A. K., Nor, M. J. M., & Abdullah, S. (2008). Fatigue analysis of spot-welded joint for automative structures. SDHM Structural Durability and Health Monitoring, 4(3), 173-180.
Rahman, M. M., Bakar, R. A., Noor, M. M., Rejab, M. R. M., & Sani, M. S. M. (2008). Fatigue life prediction of spot-welded structures: A finite element analysis approach European Journal of Scientific Research (Vol. 22, pp. 444-456).
Rahman, M. M., Rosli, A. B., Noor, M. M., Sani, M. S. M., & Julie, J. M. (2009). Effects of spot diameter and sheets thickness on fatigue life of spot welded structure based on fea approach. American Journal of Applied Sciences, 6(1), 137-142.
Shah, L. H., Akhtar, Z., & Ishak, M. (2013). Investigation of aluminum-stainless steel dissimilar weld quality using different filler metals. International Journal of Automotive and Mechanical Engineering, 8, 1121-1131.
Yang, W. H., & Tarng, Y. S. (1989). Design optimization of cutting parameters for turning operations based on the taguchi method. Journal Material Processing Technology, 84, 122–129.
