Examining the effect of feed speed on the surface roughness in the turning process of the part obtained from ti6al4v alloy by additive manufacturing method

Additive manufacturing is a contemporary production technique in which physical parts are produced using 3D solid model data, under computer control and automation support, without the need for traditional production methods. In this process, computer-aided design (CAD) data is converted into STL format and separated into layers. With the cross-sectional information obtained, material is added to the upper layers, starting from the bottom layer. In this way, designs with complex structures can be produced easily. Today, additive manufacturing is widely used in many industries and stands out as an important research and application field that is constantly evolving. In this thesis, it is aimed to produce a part in cylindrical geometry with the Ti6Al4V material obtained by additive manufacturing and to determine the most appropriate cutting parameters to obtain the lowest surface roughness of the cylindrical part by turning process. The part was produced using the SLM powder bed method. Cutting parameters; The speed is listed in the Taguchi guide as 90 m/min, 120 m/min, 150 m/min, feed rate as 0.10 mm/rev, 0.15 mm/rev, 0.20 mm/rev and depth of cut as 0.3 mm, 0.4 mm and 0.5 mm. At the end of the experiments, the average surface roughness values (Ra) of the workpiece were measured. Minitab program was used for experimental analysis. Normality analysis was performed with the Anderson-Darling test using the Minitab program. As a result of the normality test, it was determined that the values with a p value of 0.227 had a normal distribution. With the Taguchi design, signal-to-noise (S/N) ratios are limited. According to the obtained S/N graph, minimum surface roughness was obtained when the feed rate was 0.10 mm/rev, the cutting speed was 90 m/min, and the depth of cut was 0.3 mm. The confidence level in the Ra value of the feed rate was determined by ANOVA analysis. According to ANOVA analysis, the percentage effect of feed amount on surface roughness was 94.949, the percentage effect of cutting speed on surface roughness was calculated as 0.589, and the percentage effect of depth of cut on surface roughness was calculated as 3.004. According to the temperature of the experiments, the feed amount was determined to be the most important effect on the average surface roughness among the three parameters. The R Sq(adj) value of 94.18% obtained by ANOVA proves that the input owner has a strong ability to explain the surface roughness (>70%). At the same time, the confidence level in the Ra value of the feed rate was determined by ANOVA analysis. An error accuracy rate of 91% was calculated in the programming made with the optimum values and estimated values found.