Back
 ENG  Vol.10 No.11 , November 2018
Optimization of the Deposition Rate of Tungsten Inert Gas Mild Steel Using Response Surface Methodology
Abstract: In welding, so many factors contribute to good quality welds. The deposition rate is the rate of weld metal deposit at fusion zone during welding, which also is a key factors affecting the quality of welded joints. Too high or low deposition rate compromises the integrity of weld. This study was carried out with the aim of providing an approach for producing better weldments by optimizing and predicting deposition rate of low carbon steel using Response Surface Methodology (RSM). 30 sets of experiments were done, adopting the central composite experimental design. The tungsten inert gas welding equipment was used to produce the welded joints. Argon gas was supplied to the welding process to shield the weld from atmospheric interference. Mild steel coupons measuring 60 × 40 × 10 mm was used for the experiments. The results obtained show that the voltage and current have very strong influence on the deposition rate. The models developed possess a variance inflation factor of 1. And P-value is less than 0.05, indicating that the model is significant. The models also possessed a high goodness of fit with R2 (Coefficient of determination) values of 91%. The model produced numerically obtained optimal solution of current of 160.00 Amp, voltage of 20 volts and a gas flow rate of 17 L/min produces a welded material having deposition rate of 0.4637 kg/hr. This solution was selected by design expert as the optimal solution with a desirability value of 98.8%. A weld simulation using the optimum value obtained produced a weld with good quality.
Cite this paper: Imhansoloeva, N. , Achebo, J. , Obahiagbon, K. , Osarenmwinda, J. and Etin-Osa, C. (2018) Optimization of the Deposition Rate of Tungsten Inert Gas Mild Steel Using Response Surface Methodology. Engineering, 10, 784-804. doi: 10.4236/eng.2018.1011055.
References

[1]   Nand, S. and Singh, P.K. (2015) Effect of Addition of Metal Powder on Deposition Rate, Mechanical Properties, and Metallographic Property of Weld Joints during Submerged Arc Welding Process. Journal of Machining and Forming Technologies, 6, 3-4.

[2]   Clark, D., Bache, M.R. and Whittaker, M.T. (2008) Shaped Metal Deposition of a Nickel Alloy for Aero Engine Applications. Journal of Materials Processing Technology, 203, 439-448.
https://doi.org/10.1016/j.jmatprotec.2007.10.051

[3]   Benyounis, K.Y., Olabi, A.G. and Hashmi, M.S.J. (2008) Multi-Response Optimization of CO2 Laser Welding Process of Austenitic Stainless Steel. Optics & Laser Technology, 40, 76-87.
https://doi.org/10.1016/j.optlastec.2007.03.009

[4]   Hooda, A., Dhingra, A. and Sharma, S. (2012) Optimization of Mig Welding Process Parameters to Predict Maximum Yield strength in Aisi 1040. IJMERR, 1, 203-213.

[5]   Juang, S.C. and Tarng, Y.S. (2002) Process Parameters Selection for Optimizing the Weld Pool Geometry in the Tungsten Inert Gas Welding of Stainless Steel. Journal of Materials Processing Technology, 122, 33-37.
https://doi.org/10.1016/S0924-0136(02)00021-3

[6]   Choi, J. and Chang, Y. (2005) Characteristics of Laser Aided Direct Metal/Material Deposition Process for Tool Steel. International Journal of Machine Tools and Manufacture, 45, 597-607.
https://doi.org/10.1016/j.ijmachtools.2004.08.014

[7]   Singh, V. (2013) An Investigation for Gas Metal Arc Welding Optimum Parameters of Mild Steel AISI 1016 Using Taguchis Method. International Journal of Engineering and Advanced Technology (IJEAT), 2, 407-409.

[8]   Thakur, P.P. and Chapgaon, A.N. (2016) A Review on Effects of GTAW Process Parameters on Weld. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 4, 136-140.

[9]   Achebo, J.I. (2011) Optimization of GMAW Protocols and Parameters for Improving Weld Strength Quality Applying the Taguchi Method. Proceeding of the World Congress on Engineering, Vol. 1, WCE 2011, London, 6-8 July 2011.

[10]   Schneider, C.F., Lisboa, C.P., Silva, R.A. and Lermen, R.T. (2017) Optimizing the Parameters of TIG-MIG/MAG Hybrid Welding on the Geometry of Bead Welding Using the Taguchi Method. Journal of Manufacturing and Material Processing, 1, 14.
https://doi.org/10.3390/jmmp1020014

 
 
Top