Mathematical Modeling of Shape relationship including % Dilution and Total Bead Volume in SAW Process by using Two Level Half Factorial Technique
DOI:
https://doi.org/10.37255/jme.v19i4pp108-125Keywords:
Bead geometry, Mathematical model, Response, Two-level half factorial design technique, Design Expert Software.Abstract
The fabrication industry extensively uses SAW (Submerged Arc Welding) owing to its quality, precision and high production rate. The quality and strength of the weld are controlled by the weld bead geometry criterion and shape relationship, which are greatly influenced by the SAW process control variables, namely welding current, arc voltage, welding speed and nozzle-to-plate distance. The present study aims to develop mathematical relations between weld penetration shape factor (WPSF), weld reinforcement form factor (WRFF), % dilution, and total volume with process control variables. Experiments were conducted using “Two Level Half Factorial Design Techniques”. Design Expert software was deployed for graph plotting for the primary and interaction effects of process control variables on bead geometry parameters. Results indicated that voltage affects WPSF positively, while welding current and nozzle-to-plate distance affect WPSF negatively, and welding speed has an insignificant effect on WPSF. Similarly, for WRFF, arc voltage and welding speed have a positive effect, while welding current and nozzle-to-plate distance have a negative impact. For % dilution, nozzle-to-plate distance has an adverse effect and welding current has an insignificant impact. Welding current effects, the total bead volume, arc voltage, welding speed, and nozzle-to-plate distance have adverse effects.
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References
1. O.P. Khanna, A Text Book of Welding Technology, Dhanpat Rai Publications Ltd., 2006.
2. S.V. Nandkarni, Modern Arc Welding Technology, Oxford & IBH Publishing Co. Pvt. Ltd., New Delhi, 1998.
3. D.C. Montgomery, Design and Analysis of Experiment, John Wiley, New York, NY. S.R. Gupta and N. Arora, “Influence of flux basicity on weld bead geometry and heat affected zone in submerged arc welding,” Indian Welding Journal, vol. 24, no. 7, pp. 127–133, 1991.
4. L.J. Yang, M.J. Bibby, and R.S. Chandal, “AWS,” Welding Journal, pp. 11–18, 1993.
5. V. Gunraj and N. Murugan, “Prediction and optimization of weld bead volume for the submerged arc process,” Welding Journal, vol. 79, no. 11, pp. 331–338, 2000.
6. S. Pandey, “Welding current in submerged arc welding,” Indian Welding Journal, 2003.
7. S. Kumanan, J.E. Dhas Raja, and K. Gowthaman, “Determination of submerged arc welding process parameters using Taguchi method and regression analysis,” Indian Journal of Engineering & Materials Sciences, vol. 14, pp. 177–183, 2007.
8. S. Datta, A. Bandyopadhyay, and P.K. Pal, “Modeling and optimization of features of bead geometry including percentage dilution in submerged arc welding using a mixture of fresh flux and fused slag,” International Journal of Advanced Manufacturing Technology, vol. 36, pp. 1080–1090, 2008.
9. S.P. Tewari, A. Gupta, and J. Prakash, “Effect of welding parameters on the weldability of material,” International Journal of Engineering Science and Technology, vol. 2, no. 4, pp. 512–516, 2010.
10. V. Kumar, “Modeling of weld bead geometry and shape relationship in submerged arc welding using developed fluxes,” Jordan Journal of Mechanical and Industrial Engineering, vol. 5, no. 5, 1995–6665, 2011.
11. D.K. Choudhary, “To study the effect of welding parameters on weld bead geometry in SAW welding process,” Elixir Mechanical Engineering, vol. 40, pp. 5519–5524, 2011.