Open Access Open Access  Restricted Access Subscription or Fee Access

Application of Taguchi Design Method for Parametric Optimization of MIG Welding

Rituparna Das, Diganta Kalita, Parimal Bakul Barua

Abstract


In the various engineering field like aerospace, nuclear and underwater applications, scope of Metal Inert Gas (MIG) welding, has increased to a greater extent. As a result, to improve the existing process of welding, different parameters are needed to be investigated. The MIG welding parameters are the most important factors that affect the quality, productivity and cost of welding. This report presents the study of the influence of different welding parameters on the ultimate tensile strength of the weld. The significance of each parameter is investigated using Taguchi Analysis and the method is also employed to study the welding characteristics of material and optimization of the welding parameters. The Analysis for signal-to-noise ratio is done using MINITAB-18 software for higher-the-better criteria. In the present work, MIG welding has been performed on low carbon steel with mild steel copper coated welding wire, suitable for CO2 gas protective electrode of 1.2 mm diameter. An experiment has been designed using Taguchi’s Orthogonal Array L16, taking welding current, gas pressure and welding speed as factors having four levels each. The selected levels for welding current are 145A, 155A, 168 A, 175A, for gas pressure are 14psi, 21psi, 28psi, 36psi and for welding speed are 13cm/min, 15cm/min, 17cm/min, 19cm/min. The optimal set of process parameters for optimal response of tensile strength (408.73 N/mm2) is found to be 155A welding current, 14psi gas pressure, and 17cm/min welding speed at economic level. The optimal values of individual quality characteristics have been confirmed by conformation experiment using the optimal levels of process parameters and then comparing the predicted values of quality characteristics with the actual ones.

Full Text:

PDF

References


Anoop. C.A, Kumar P. Application of taguchi method and ANOVA in GTAW process parameters optimization for aluminum alloy 7039. International Journal of Engineering and Innovative Technology, (2013); 11(2): 54-58p.

Chauhan, V, Dr. Jadoun R.S. Parametric optimization of MIG welding for stainless steel (ss-304) and low carbon steel using taguchi design method. International journal of recent scientific research, (2015); 2(6): 2662-66p.

Choudhury N, Rudrapati R, Bandyopadhyay A, Design optimization of process parameters for TIG welding based on Taguchi method. International journal of current engineering and technology, (2014); 1(2): 12-16p.

Ghogale, M.M. Optimization of process parameters of MIG Welding to improve quality of weld using Taguchi Methodology. International Journal of Engineering Research and Technology (IJERT), (2013); 2(12): 3677-85p.

Ghosh N, Pal P.K, Nandi, G. Parametric optimization of MIG Welding on 316L austenitic stainless steel by Taguchi method. Archives of material science and engineering, (2016); 79(1): 27-36p.

Kumar D, Jindal S. Optimization of Process Parameters of Gas Metal ARC Welding by Taguchi’s Experimental Design Method. International Journal of Surface Engineering & Materials Technology, (2014); 1(4): 24-27p.

Singh V. An Investigation for Gas Metal Arc Welding Optimum Parameters of Mild Steel AISI 1016 using Taguchi Method. International Journal of Engineering and Advanced Technology (IJEAT), (2013); 6(2): 407-09p.

Satyaduttsinh P, Desai V, Petal T.M. A Review on Optimization of MIG Welding Parameters using Taguchi’s DOE Method. International Journal of Engineering and Management Research, (2014); 4(1): 16-21p.

Telsang M.T, Sapakal S.V. Parametric optimization of MIG Welding using Taguchi Design method. International Journal of Advanced Engineering Research and Studies, (2012); 4(1): 28-30p.

Verma S, Singh, R. Optimization of process parameters of MIG Welding by Taguchi method on CRC STEEL IS513GR D. International Journal of Advance Research in Science and Engineering, (2014); 9(3): 187-97p.


Refbacks

  • There are currently no refbacks.