Using Taguchi Grey Relational Analysis Multi-Object of Process Parameters in Electric Resistance Welding of Wire to Recovery AISI1045 Steell Shaft
This study focuses on the multi-objective optimization of the welding joint of AISI 1045 steel shafts with AISI 1070 filler wire 1.8 mm in diameter by electric resistance welding method. During the welding process, welding parameters input are important because it determines the quality of the welding joint. Therefore, in this study, Taguchi method was used in combination with grey relational analysis to select the welding parameters suitable for this welding process. The experiments were performed according to the orthogonal array L9 designed by the Taguchi method. The input welding mode parameters used in this study include welding current (Ih), force (F), welding speed (Vh). The output characteristics for the selected weld quality target are minimum tensile strength and micro hardness. Grey analyzes were conducted to optimize for the input parameters, the analysis results show that the set of input parameters suitable for the output quality are Ih = 7.5 KA; F = 1.7 KN; Vh = 1.5 cm/s. This is followed by the process of assessing the significance of the factors to all qualities of the welded joint using the ANOVA analysis process.