ABSTRACT:Metal matrix composites are used mostly in aerospace, space ships, automotive, nuclear, biotechnology, electronic and sporting goods industries. Due to their high cost, experiments are usually done to reduce the cost of the composites and in expensive materials are utilized for metal matrix composites. Aluminum alloys are alloys in which aluminum is predominant metal. During stir casting, 1 Kg of Al (6351) has been taken with 50gm by wt. % of Sic and 50gm by wt. % of B 4 C as Sample. Then the sample is made in the form of cylindrical rod of 10mm diameter and 30mm length. This study describes multi-factor based experiments that are applied to optimization on machinability of stircast aluminum alloy 6351 with Silicon Carbide and Boron Carbide reinforced metal matrix composites (MMC'S). The effects of parameters such as Cutting Speed, Feed Rate, and Depth of cut on the Power, Surface Roughness, and Material Removal Rate are analyzed using Grey relational analysis on a CNC turning machine. Analysis of variance (ANOVA) is also performed to identify which design parameters significantly affect the machinability of the composite.

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Presence of non-metallic inclusion deteriorates quality of steel and causes nozzle clogging during casting. Nozzle clogging eventually leads to a disruption of normal casting operations. This happens when solid alumina inclusions get accumulate in the nozzle of submerged entry nozzle (SEN). Therefore, it is required to understand the inclusion characteristics (shape, size and chemistry), which forms during the steelmaking process. Calcium is added in the steel ladle furnace (LF) in the form of CaSi wire to modify inclusions and to desulphurize steel. The range in which all the oxides become liquid and no solid sulphides begin to form is regarded as the "optimum window" or “liquid inclusion window” for calcium treatment. It is a target to obtain this calcium addition window, during calcium addition in the ladle furnace. This window mainly depends on the sulfur and total oxygen contents of the liquid steel bath. In the present study, inclusions characteristics such as volume fraction of inclusions, inclusion rating and EDS analysis of inclusions has been carried out using SEM-EDS. Thermodynamic study is carried out using thermodynamic software FACTSAGE and databases to find out formation of various calcium aluminates and the precipitation of CaS. Results show that liquid inclusion window mainly depends mainly on the sulphur level, total oxygen and aluminum content in the steel. These windows will help in calculation of calcium addition range for optimizing the addition of calcium in the ladle. These nomograms have been validated with actual plant condition to reduce the nozzle clogging during continuous casting.