Prediction Welding Quality in Multi-Pass Welding Process Using Mahalanobis Distance Method

Abstract:

Article Preview

The welding quality in multi-pass welding is mainly dependent on the pre-heating from pervious pass or root-pass welding. In this study, a Mahalanobis Distance and normal distribution method is illustrated and employed to determine whether welding faults have occurred after each pass welding and also to quantify welding quality percentage. To successfully accomplish this objective, sets of multi-pass welding experiment were performed with different welding parameters in each pass; the welded samples of SS400 steel flats adopting the bead-on-plate technique were employed in the experiment. The result of current and voltage for each pass is obtained through the real time mentoring systems. In order to verify the effect of the performance and weld quality of the different weld-pass, Mahalanobis distances for voltage and current values were calculated and used for qualitative and quantitative analysis with comparison to values obtained from the root-pass as reference welds. The results of the experiment and statistical analysis have demonstrated that the weld faults after each weld pass is feasible.

Info:

Periodical:

Edited by:

Xiaochun Tang, Xiaohong Chen, Yuxiang Dong, Xiuguo Wei and Qingsheng Yang

Pages:

2688-2693

DOI:

10.4028/www.scientific.net/AMM.291-294.2688

Citation:

R. R. Chand et al., "Prediction Welding Quality in Multi-Pass Welding Process Using Mahalanobis Distance Method", Applied Mechanics and Materials, Vols. 291-294, pp. 2688-2693, 2013

Online since:

February 2013

Export:

Price:

$35.00

[1] Feng, S., O. Hiroyuki, T. Hidennori, K. Yomizo, and S. Hu, 2011: International Journal of Precision Engineering and Manufacturing, Volume, 12, 6.

[2] Wu, C. S., J. Q. Gao and J. K. Hu 2007: International Journal of Measurement Science and Technology. 18.

[3] Adolfsson, S., A. Bahrami, G. Bolmsjo and I. Claeson, 1999: welding Journal. 78, 2.

[4] Pan, L.K., C.C. Wang, S.L. Wei, H.F. Sher, 2007: J Mater Process Technol 182: 107-116.

[5] Pal, K., S. Bhattacharya, S. K. Pal, 2010: J Mater Process Technol 210: 1397-1410.

[6] Li, X. and S. W. Simpson, 2009: Science and Technology of welding and joining, 14, 2.

[7] Taguchi, G. and R. Jugulum, 2002: The Mahalanobis –Taguchi strategy: A pattern technology system, John Wiley & Sons, New York.

DOI: 10.1002/9780470172247

[8] Avishek, P. and J. Maiti, 2010: Expert System with Applications, 37, 2.

[9] Abbasi, S. E., A. Aaghaie and M. Fazlali, 2011: Journal of Industrial Engineering, 45.

[10] Ruisz, J., J. Biber and M. Loiptsberger, 2007: International Journal of Advance Manufacturing Technology, 33, 9-10.

[11] Tarng, Y. S., W. H. Yang, S. C. Juang, 2000: International Journal Advance Manufacturing Technology, 16.

[12] Simpson,S. W., 2008: Science and Technology of welding and Joining, 13, 1.

[13] Lee, H. T., M. Wang, R. Maev, E. Maeva, 2003: International Journal Advance Manufacturing Technology, 20, 9-10.

[14] Zhiyong, L., W. Bao, D. Jingbin, 2009: Journal Material Process Technology, 209.

In order to see related information, you need to Login.