Development of Computer Software for Predicting Response Parameters of Flat Fillet Welds Made By Submerged Arc Welding

Authors

  • Nagendra Singh Gaira Department of Mechanical Engineering, Graphic Era Hill University, Bhimtal Campus, Distt: Nainital, PIN-263132
  • M.C. Lohani School of Computer Application, Graphic Era Hill University, Bhimtal Campus, Distt: Nainital, PIN-263132.
  • R. C. S. Mehta Department of Mechanical Engineering, Graphic Era Hill University, Bhimtal Campus, Distt: Nainital, PIN-263132

Keywords:

SAW, fillet weld bead, control & response parameters.

Abstract

Submerged Arc Welding (SAW) has been used as an important joining process for fillet welds. Here welding arc is covered by granular flux in order to protect the weld bead area from atmospheric contamination. Since, during welding the arc and the weld bead are not visible, so to run the submerged arc welding machine in automated mode, the welding parameters have to set in advance to get the desired weld bead geometry.
In the present article, a software has been developed to predict the response parameters of flat fillet welds made by Submerged Arc Welding. For this mathematical models developed by Mehta, R.C.S. et al(1997) to correlate the weld bead geometry parameters viz. leg length(A), throat thickness(T) and weld bead toe width(W) with the control parameters namely open circuit voltage(V), wire feed rate(F) and welding speed(S) have been used. The parent metal used was 10mm thick C-Mn steel. The results obtained by the software perfectly match with the experimental results.

References

1. Mehta R.C.S.,Verma.J.P. & Verma,R.K. Effect of Submerged Arc Process Variables on the Bead Geometry of Flat Fillet Welds. Institution of Engineers(India),1998
2. Mehta, R.C.S., Kaushal, O.P. and Parmar, R.S. The Weld Bead Geometry Control of Flat Fillet Welds Made by Submerged Arc Welding. International Conference on Advances in Mechanical and Industrial Engineering, Roorkee, Feb.1997
3. Srihari , T . and Parmar , R.S.1995. Weld Bead Geometry Prediction. Institution Of Engineeers (India)- Mc. V 76 , May 1995 . pp 39-43
4. Yang , L.J., Chandel , R.S. and Bibby , M.J.1992. Effects of Process Variables on Bead Width of Submerged Arc Weld Deposits. J. Material Process Technology , V 29 , n 1-3 ,Jan 1992. pp 133-144
5. Chandel , R.S., Bala , S.R and Malik , L . 1987. J . Effect of Submerged Arc Process Variables . Welding and Metral Fabrication
6. Gomez , K.A. and Gomez , A.A 1984. Statistical Procedure for Agricultural Research. 2ndedition . John Wiley and Sons , New York . 680 p.
7. Mc Glone , J.C.1980 . A solution to the problem of Weld Bead Geometry Prdiction. Thesis , Ph.D. Council of National Academy Awards (U.K), London .302 p.
8. Cary , H.B.1979. Modern Welding Technology. Prentice Hall , Inc. , Engelwood Cliffs, New Jersey . 708p

Published

2019-01-12

Issue

Vol. 2 No. 1 (2015): Special Issue- Journal of Advanced Research in Manufacturing, Material Science & Metallurgical Engineering

Section

Articles