IIARD International Journal of Economics and Business Management (IJEBM )
E-ISSN 2489-0065
P-ISSN 2695-186X
VOL. 8 NO. 3 2022
DOI: https://doi.org/10.56201/ijebm.v8.no3.2022.pg9.16
Ekwe D.U, and O. E. Isaac
The relationship between welding voltage, welding current and arc length was investigated in this study. Shielded metal arc welding (SMAW) process was used to weld API 5L X65 line pipes at welding current of 80 – 200A and arc length of 1.5 – 3.5mm. First and second order polynomial equation and Amson models were also used to study the welding voltage as a function of current and arc length. The results revealed that increase in current and arc length lead to corresponding increase in voltage. The welding voltage increased from 19.48 – 23.82V at constant arc length of 1.5mm and from 22.25 – 26.77V at 3.5mm arc length, as current increased from 80 – 200A. Voltage increase was more influenced by increase in arc length than increase in current. Welding currents between 140A and 180A and arc length between 2mm and 3mm are recommended for optimum quality welded joints. The analysis of the model performance showed that there was high correlation between the predicted and the measured welding voltage values (R 2 up to 99%). However, the predictions from the second-order polynomial model slightly edged the Amson and the first-order polynomial models. Therefore, using either of these models could be helpful in making a decision on the range of welding input parameters that can be used to optimise welding quality and productivity in the SMAW process.
Shielded Metal Arc Welding, Welding Voltage, Welding Current, Arc Length and Model
Amson, J.C. (1964). An Analysis of the Gas Shielded Consumable Electrode Metal Arc Welding
System, London: British Welding Research Association, Rep. no. Al/47/64, 22.
Bjorgvinsson, J.B., Cook, G.E., & Andersen, K. (1993). Microprocessor-Based Arc Voltage
Control for Gas Tungsten Arc Welding Using Gain Scheduling, IEEE Transactions on
Industry Applications, 29 (2), 250 -255.
Cook, G.E. (1983). Robotic Arc Welding: Research in Sensory Feedback Control, IEEE
Transactions on Industrial Electronics, 30 (3), 252 -268.
Desai, A.T., Patil, A.B, Patil, D.S, Patil, K.M, & Patil, R.D (2019). Optimization of Various
Parameters of SMAW by Using Taguchi Method, IOSR Journal of Engineering, 9 (6), 1-
9.
Ghetiya, N., & Pandya, D. (2014). Mathematical Modeling for the Bead Width and Penetration
in Activated TIG Welding Process, International Conference on Multidisciplinary
Research & Practice, 1 (7), 247 – 252.
Ikpe, A.E., Owunna, I., & Ememobong, I. (2017). Effects of Arc Voltage and Welding Current
on the Arc Length of Tungsten Inert Gas Welding (TIG), International Journal of
Engineering Technologies, 3 (4), 213 – 221.
Kachhoriya, A.K., Bangar, A., Sharma, R., & Neetu, A. (2012). Optimization of Welding
Parameters by Regression Modeling and Taguchi Parametric Optimization Technique,
International Journal of Mechanical and Industrial Engineering, 1 (7), 2231 – 6477.
Miller Electric (2018). Guidelines for Shielded Metal Arc Welding (SMAW), Miller Electric
Manufacturing Limited Liability Company, 1635 West Spencer Street, Appleton, USA.
Retrieved from http://www.millerwelds.com/pdf/guidelines_smaw.pdf. 21st February,
2021.
Moghaddam, A.M., & Kolahan, F. (2020). Modelling and Optimization of Flux Assisted
Tungsten Gas Welding Process Using Taguchi Method and Statistical Analysis,
Amirkabir Journal of Mechanical Engineering, 4 (3), 1 – 9.
Mohd, N.C.W., Ferry M., & Nik, W.B.W. (2014). A Study of Software Approach for Predicting
Weld Bead Geometry in Shielded Metal Arc Welding (SMAW) Process, Applied
Mechanics and Materials, 554 (4), 386-390.
Patel, D., Patel, S., Parekh, J., & Chaudhary, S. (2017). A Review on Effect of Different Process
Parameters of SMAW, Imperial Journal of Interdisciplinary Research, 39 (1), 1384-1389.
Ravikumar, S.M., & Vijian, P. (2014). Optimization of Weld Bead Geometry in Shielded Metal
Arc Welding using Taguchi Based Grey Relational Analysis, International Journal of
Mechanical & Mechatronics Engineering, 14 (4), 86 – 91.
Sathya, P.C., & Jaleel, A. (2010). Grey-Based Taguchi Method for Optimization of Bead
Geometry in Laser Bead on Plate Welding, Advanced Production Engineering and
Management, 69 (12), 225 – 234.
Shivakumara C.M, Babu, B.R.N., kumar, B.S.P., & Vijayakumar, Y. (2013). Optimization of
Shielded Metal Arc Welding Parameters for Welding of Pipes by Using Taguchi
Approach, International Journal of Engineering Research and Applications, 3 (3), 1460-
1465.
Singh, G., & Sharma, S.K. (2016). Optimization of Welding Parameters of Submerged Arc
Welding Process: A Review, International Journal of Advance Research in Science and
Engineering, 5 (5), 459 – 464.
Singh, S. (2018). Analysis of Various Defects Involved in Weld ing Metallurgy, International
Journal of Pure and Applied Mathematics,120(6), 6267-6280.
Tiwari, I., Laksha, P., & Khanna, P. (2018). Mathematical Modelling of Angular Distortion in
GTA Welded Low Carbon Alloy Steel Butt Welds, Proceedings of the World Congress
on Engineering and Computer Science, October 23-25, 2018, San Francisco, USA.
Wang, X., Wang, A., Wang, K., & Li Y. (2019). Process Stability for GTAW-Based Additive
Manufacturing, Rapid Prototyping Journal, 25 (5), 809–819.
Weglowski, M., Huang, Y., & Zhang, Y.M. (2008). Effect of Welding Current on Metal Transfer
in GMAW, Archives of Materials Science and Engineering 33(1), 49-56.
Wilhelmsen (2017). Maritime Welding Handbook: Welding and Related Processes for Repair
and Maintenance Onboard (14th Edition), Norway: Unitor Wilhelmsen Service.