Hybrid Taguchi Based Grey Algorithm for Multi Objective Optimization of Gas Metal Arc Welded DP1000 Steel

Authors : Murat KARATAŞ, Melih BAYRAMOĞLU, Ugur ESME, Necdet GEREN

Pages : 206-213

Doi:10.26701/ems.941934

View : 42 | Download : 7

Publication Date : 2021-12-20

Article Type : Research Paper

Abstract :Euro-6 norms for reduction of CO2 emissions and ECE-R66-01 regulation for safer passenger transportation became legislative obligations for bus builders. These two adaptations increase the weight of a bus as nearly 600kg which also increases the fuel consumption nearly 1.5-3%. Dual phase insert ignore into journalissuearticles values(DP); steels can compensate these increases by decreasing the thickness of the components. Because, ferrite provides the steel with good formability and martensite increases the hardness and ultimate tensile strength in DP steels. This study focused on the multi response hybrid optimization of gas metal arc welding insert ignore into journalissuearticles values(GMAW); of DP1000 steel to determine the optimal parametric combination which gives the maximum ultimate tensile strength insert ignore into journalissuearticles values(UTS, MPa); and joint efficiency insert ignore into journalissuearticles values(JE); under minimum heat input insert ignore into journalissuearticles values(Q, kj/mm);. Nine experimental trials which is based on the orthogonal array suggested by Taguchi method was carried out to investigate objective functions for optimization in the experimental range of GMAW parameters such as voltage insert ignore into journalissuearticles values(U, volt);, welding speed insert ignore into journalissuearticles values(V, mm/min); and wire feed rate insert ignore into journalissuearticles values(f, m/min);. The Taguchi method continued with Grey Relational Analysis insert ignore into journalissuearticles values(GRA); to overcome the multi-objective optimization model. Finally, Analysis of variance insert ignore into journalissuearticles values(ANOVA); method has been used to determine the significance of the welding parameters on the responses of UTS, JE and Q. This shows flexible applicability of Taguchi based GRA to find out the effect of each GMAW process parameters onto individual responses.
Keywords : DP1000 steel, Taguchi method, Gas Metal arc welding, Grey relation optimization

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