Abstract
Welding is a basic manufacturing process for making components or assemblies. Recent welding economics research has focused on developing a reliable machinery database to ensure optimum production. Research on welding of materials like steel is still critical and ongoing. Welding input parameters play a very significant role in determining the quality of a weld joint. The metal active gas (MAG) welding parameters are the most important factors affecting the quality, productivity, and cost of welding in many industrial operations. The aim of this study is to investigate the optimization of process parameters for metal active gas welding for 60 mm × 60 mm × 5 mm dead mild steel plate work piece using the Taguchi method to formulate the statistical experimental design using a semi-automatic welding machine. An experimental study was conducted in the automotive industry, Bishoftu, Ethiopia. This study presents the influence of four welding parameters (control factors) like welding voltage (volt), welding current (ampere), wire-speed (m/min.), and gas (CO2) flow rate (Lt./min.) with three different levels for variability in the welding hardness. The objective functions have been chosen in relation to parameters of MAG welding i.e., welding hardness in final products. Nine experimental runs based on an L9 orthogonal array (OA) Taguchi method was performed. An OA, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate the welding characteristics of dead mild steel plate and used in order to obtain optimum levels for every input parameter at 95% confidence level. The optimal parameters setting was found is welding voltage at 22 V, welding current at 125 amperes, wire speed at 2.15 m/min, and gas flow rate at 19 Lt./min. by using the Taguchi experimental design method within the constraints of the production process. Finally six conformations welding have been carried out to compare the existing values; predicted values with the experimental values confirm its effectiveness in the analysis of welding hardness (quality) in final products. It is found that welding current has a major influence on the quality of welded joints. Experimental results for optimum setting gave better hardness of welding condition than initial setting. This study is valuable for different material and thickness variation of welding plate for Ethiopian industries.
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References
Abbasi K, Alam S, Khan MI (2012) An experimental study on the effect of MIG welding parameters on the weld-bead shape characteristics. Eng Sci Technol: Int J 2(4):599–602
Aghakhani M, Mehrdad E, Hayati E (2011) Parametric optimization of gas metal arc welding process by Taguchi method on weld dilution. Int J Model Optim 1(3):216–220
Anoop CA, Kumar P (2013) Application of Taguchi methods and ANOVA in GTAW process parameters optimization for aluminum alloy 7039. Int J Eng Innov Technol 2(11):54–58
Arya DM, Chaturvedi V, Vimal J (2013) Parametric optimization of MIG process parameters using Taguchi and grey Taguchi analysis. Int J Res Eng Appl Sci 3(6):1–17
Ghazvinloo HR, Honarbakhsh-Raouf A, Shadfar N (2010) Effect of arc voltage, welding current and welding speed on fatigue life, impact energy and bead penetration of joints produced by robotic MIG welding. Indian J Sci Technol 3(2):1–7
Juang SC, Tarng YS (2002) Process parameter selection for optimizing the weld pool geometry in the Tungsten inert gas welding of stainless steel. J Mater Process Technol 122:33–37
Kumar A, Sundarrajan, S (2005). Process parameter selection for the optimum weld pool geometry in the TIG welding of Aluminium alloy using Taguchi method. International Welding Symposium, WE07.
Kumar P, Roy BK, Nishant, (2013) Parameters optimization for gas metal arc welding of austenitic stainless steel (AISI 304) and low carbon steel using Taguchi’s technique. Int J Eng Manag Res 3(4):18–22
Nataraj M, Arunachalam VP (2005) A novel design approach for quality improvement of centrifugal pump using Taguchi’s robust design concept, AIMTDR Conference, VIT.
Patil SR, Waghmare CA (2013) Optimization of MIG welding parameters for improving strength of welded joints. Int J Adv Eng Res Stud 2(4):14–16
Ross PJ (1996) Taguchi techniques for quality engineering. San Francisco, Washington DC, New York
Sapakal SV, Telsang MT (2012) Parametric optimization of MIG welding using Taguchi design method. Int J Adv Eng Res Stud 1(4):28–30
Singh V (2013) An investigation for gas metal arc welding optimum parameters of mild steel AISI 1016 using Taguchi method. Int J Eng Adv Technol 2(6):407–409
Singh NK, Vijayakumar Y (2012) Application of Taguchi method for optimization of resistance spot welding of austenitic stainless steel AISI 301L. Innov Syst Des Eng 3(10):49–61
Tarng YS, Tsai HL, Yeh SS (1999) Modeling, optimization and classification of weld quality in TIG welding. Int J Mach Tool Manuf 39:1427–1438
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Tesfaw, T., Singh, A.P., Gezahegn, A.M. et al. Optimization of MAG welding process parameters using Taguchi design method on dead mild steel used in automotive industry. Int J Syst Assur Eng Manag 13, 79–89 (2022). https://doi.org/10.1007/s13198-021-01107-w
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DOI: https://doi.org/10.1007/s13198-021-01107-w