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Survey of Welding Voltage from Welding Current and Arc Length in SMAW Process

Ekwe D.U, and O. E. Isaac

Abstract

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.

Keywords

Shielded Metal Arc WeldingWelding VoltageWelding CurrentArc Length and Model

References

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.

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