In this study, the effect of zinc addition on the microstructure and mechanical properties of magnesium five-tin (Mg5Sn) alloys was investigated. The powder metallurgy (P/M) method was used for the production of Mg5Sn-xZn (x = 0, 1, 2, 3, 4, and 5 weight percent) alloy after magnesium powders were coated with paraffin. The paraffin coating method was used for the first time in this study in order to prevent the contact of magnesium with oxygen. The experimental results showed that coating magnesium powders with paraffin prevents contact with oxygen. Therefore, Mg5Sn-xZn alloys were produced by P/M technique successfully. The intermetallic phases in the hot-pressed Mg5Sn-xZn alloys were magnesium-two-tin (Mg2Sn) and magnesium-zinc (MgZn) phases. These phases were uniformly distributed at the grain boundaries. Mechanical properties increased with increasing zinc ratios because of the grain refiner effect of zinc. It is concluded that the MgZn phase was obtained only from the Mg5Sn5Zn alloy, which has the highest mechanical properties.

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In the present study, Mg5Sn-xZn (x = 0, 1, 2, 3, 4, and 5 wt%) alloys in superior biocorrosion properties were produced successfully. A novel mixing technique which prevents contact of magnesium with oxygen has been applied in order to produce Mg-Sn-Zn alloys by hot pressing. According to the obtained results, it was observed that a homogeneous microstructure could be obtained, and the formed secondary phases were uniformly distributed at the grain boundaries. At the same time, it was determined that addition of Zn had a grain refiner effect on microstructure. Therefore, corrosion resistance increased with increasing Zn ratios. Apatite structures were formed on specimen surfaces during degradation as protective layers. The highest corrosion resistance was obtained from TZ54 alloy, in which the apatite structures formed intensively. The addition of Zn to the alloys had no toxic effects on human neuron cells in terms of biocompatibility, but was effective for cell growth.

Fused deposition modelling (FDM) additive manufacturing is a technology that works horizontally and vertically in which an extrusion nozzle moves on a building platform. Knowing the mechanical properties of the parts manufactured by the FDM method is very important for the parts to work efficiently in places of usage. Additive manufacturing with the FDM method is widespread due to its advantages such as easy-to-use features, low cost, flexibility in material options, and less processing after printing. Two different polymer materials (PLA and ABS), tensile, compression test and 3 point bending tests, a total of 36 test specimens were printed on the FDM type printer. The samples obtained were subjected to mechanical tests to determine their mechanical properties. As a result of the study, the effect of the samples' mechanical properties produced by the PLA and ABS-based FDM method was examined and compared with the literature. The results showed that the mechanical properties of PLA and ABS material are highly dependent on the filling density. While the mechanical properties were improved by the increase in filling density rate, the print speed has been decreased. The research findings obtained are of a nature that will guide the optimization of the FDM method's parts in terms of mechanical properties.

In this study, the burr and slot widths formed after the micro-milling process of Inconel 718 alloy were investigated using a rapid and accurate image processing method. The measurements were obtained using a user-defined subroutine for image processing. To determine the accuracy of the developed imaging process technique, the automated measurement results were compared against results measured using a manual measurement method. For the cutting experiments, Inconel 718 alloy was machined using several cutting tools with different geometry, such as the helix angle, axial rake angle, and number of cutting edges. The images of the burr and slots were captured using a scanning electron microscope (SEM). The captured images were processed with computer vision software, which was written in C++ programming language and open-sourced computer library (Open CV). According to the results, it was determined that there is a good correlation between automated and manual measurements of slot and burr widths. The accuracy of the proposed method is above 91%, 98%, and 99% for up milling, down milling, and slot measurements, respectively. The conducted study offers a user-friendly, fast, and accurate solution using computer vision (CV) technology by requiring only one SEM image as input to characterize slot and burr formation.