A Central Composite Design Approach to Minimize HAZ of TIG Weldments

  • Andrew Ozigagun 
  • Raphael Biu 


Abstract Views
391

Downloads
294

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Aug 25, 2019
Published Sep 23, 2019
10.24018/ejeng.2019.4.9.1496

Abstract viewed = 391 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

Welding is a multi-input multi-output fabrication process, which requires a multi-response optimization technique. In this present work, the effect of heat affected zone and percentage dilution on the quality of Tungsten Inert Gas welded joints was investigated using mild steel plates. The Central Composite Design matrix was adopted to perform the welding experiment and collect the data, thereafter Response Surface Methodology (RSM) models was employed to minimize heat affected zone and percentage dilution with very significant statistical results. The result shows that the quadratic model was the most suitable for the HAZ data and the percentage dilution data with a P-value < 0.05 and R2 value of 88% and 90% for the HAZ and percentage dilution respectively.

Keywords: Heat Affected Zone Percentage Dilution Central Composite Design Tungsten Inert Gas Welding

Downloads

Download data is not yet available.

References

  1. M Sarizam. (2012) “Variant analysis of bainite phase transformation in heat affected zone (HAZ) of Cr-Mo steel”. Master dissertation. Osaka University, Japan.
     Google Scholar
  2. K.Y. Benyounis, A.G. Olabi, M.S.J. Hashmi (2005) “Residual Stresses Prediction for Co2 Laser Butt-Welding Of 304-Stainless Steel”. Applied Mechanics and Materials, Vols. 3–4. Trans Tech Publications. 2005. P. 125–30.
     Google Scholar
  3. V. Gunaraj and N. Murugan, (1999) “Prediction And Comparison Of The Area Of The Heat-Affected Zone For The Bead-On plates And Bead-On-Joint In Submerged Arc Welding Of Pipes”, Journals Of Materials Processing Tech., Vol. 95, , Pp. 246-261.
     Google Scholar
  4. Lancaster, J.F. (1999). Metallurgy of welding (6th ed.). Abington, Cambridge: Abington Pub. ISBN 1-85573-428-1
     Google Scholar
  5. M. Eroglu, M. Aksoy and N. Orhan( 1999). “Effect of coarse initial grain size on microstructure and mechanical properties of weld metal and HAZ of a low carbon steel”. Materials Science and Engineering A. 269(1): 59-66.
     Google Scholar
  6. G.B. Rajkumar and N. Murugan, (2012) Prediction of Weld Bead Geometry Using Artificial Neural Networks on 2205 Duplex Stainless Steel. European Journal of Scientific Research, Issn 1450-216x (78), 85-92.
     Google Scholar
  7. A .Aggarwal, H. Singh, P. Kumar and M. Singh (2008) Optimizing Power Consumption For CNC Turned Parts Using Response Surface Methodology And Taguchi’s Technique A, Comparative Analysis. Journal Of Materials Processing Technology, (2008), 373–384.
     Google Scholar
  8. I. Asilturk and S. Neseli (2012) Multi Response Optimization Of CNC Turning Parameters Via Taguchi Method-Based Response Surface Analysis. Measurement, (45), 785–794.
     Google Scholar
  9. Z. Sterjovski, D. Nolan, D. Dunne And J. Norrish,(2004)” Predicting The HAZ Hardness Of Pipeline And Tap Fitting Steels With Artificial Neural Networks” In Proceedings Of The 4th Inter. Conf. On Pipeline Technology, University Of Wollongong, New, Australia, 2004, Pp. 1233-1245.
     Google Scholar


Similar Articles

You may also start an advanced similarity search for this article.