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Öğe Effects of Weld Heat Input on Mechanical Characteristics of Low Carbon Sheet Steels(Kauno Technologijos Universitetas, 2024) Eruslu, Sait Ozmen; Akbulut, Ismail Berk; Dalmis, Ibrahim SavasThis study focuses on examining the variation in mechanical characteristics of low-carbon sheet steels when they are subjected to heat input from Tungsten Inert Gas (TIG) welding. The weld heat input parameters, such as welding speed and current, were controlled through the TIG welding process. A finite element analysis was performed to evaluate the couple field thermomechanical effects of the weld heat line, using the Gauss heat flux approach for thermal heat variation across the weld heat-affected zone. The numerical study yielded results for weld heat-affected deflection, residual stress, and modal analysis through the finite element model. It was found that the ductility decreased and hardness increased in the fusion zone, as a function of weld current and speed. The residual stresses and their zone of influence, as determined by weld line parameters, were found to be key factors affecting deflection and natural frequencies in structural aspects of low carbon sheet steels. © 2024 Kauno Technologijos Universitetas. All rights reserved.Öğe Mechanical properties of Sr inoculated A356 alloy by Taguchi-based gray relational analysis(Walter De Gruyter Gmbh, 2024) Yilmaz, Serdar Osman; Teker, Tanju; Dalmis, Ibrahim Savas; Bulus, ErcanIn this study, Sr inoculated A356 alloy casted by sand-casting technique. Production parameters such as Sr concentration (wt.%), aging temperature (degrees C), aging time (h), and constant cooling rate were used. The effect of heat treatment on the microstructure and mechanical features of inoculated A356 materials was examined by using scanning electron microscopy, optical microscopy, and the Taguchi-based gray relational analysis method. The optimum production parameters for A356 alloy were determined as 0.03 Sr concentration, aging 300 degrees C temperature, and 3 h aging time. Multiple response optimization based on the interaction of these parameters provided a 30.15 % improvement in performance. Gray relational grade (GRG) experimental results showed that the most important parameter was Sr concentration, with a contribution of 76.51 %, according to the analysis by ANOVA statistical method.