Nowadays, the aluminum metal matrix composites (AMCs) play an empirical role to improve the mechanical performance by various applications. Therefore, the secondary processes need to enhance the surface morphology of intermetallic phases with the appropriate reinforcing particles. In this research, Al7075- and ceramic-based nanosilicon carbide (SiC) were utilized to compose the metal matrix composites. These composites were subjected to friction welding for intermetallic surface modification with the various forging pressure and rotating speed. Initially, the AMCs were prepared with three (8–12) kinds of SiC weight proportions by the design of Taguchi L9 orthogonal array. As per the weight proportions, nine samples were prepared and then conducted the friction welding with 10–20 MPa of forge pressure and 1,650–2,050 rpm of rotational speed of spindle. Then, the entire nine specimens were allowed to conduct the tensile and microhardness test. During the mechanical test, the overall welded zone had higher mechanical properties than the base metal. Then, the artificial neural network was utilized to predict the output responses as per the designed concept of trial and error method. The overall predicted responses are nearly closed to the experimental values.
Friction Stir Welding (FSW) is belongs to the solid state welding process. The welding joints were completed by compressive force which can be achieved through the rotational speed of pin. In this process, the welded material was operated below the recrystallization temperature. The heat was formed due to frictional force between the pin and work piece. This experimental investigations have been provided to address the FSW of eglin steel. The Ultimate Tensile Strength (UTS) was the output of the experiment which it was depends on the input factor such as welding speed, feed and pin rotational speed. Taguchi optimization was performed to found the optimal factor. The variance analysis was used to found the contribution factor.
Radiators are a type of cross-flow plate and fin heat exchangers used for cooling purposes. This paper describes the investigation of the cooling science behind it as an integration of forced convection and heat transfer. Radiators are used for the cooling various machinery from automotive engines to heavy-duty industrial applications like excavators and so on. There haven’t been major developments in the radiator design in recent times on a commercial basis concerning an increment in efficiency. Thus, the following research study aimed to explore the feasibility of enhancing radiators’ effectiveness by integrating a variety of theoretical and simulation models, namely Taguchi Design, Ԑ-NTU method for numerical analysis and validation by CFD analysis.
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