Akademik Veri Yönetim Sistemi
5th International Conference on Engineering and Applied Natural Sciences, Konya, Türkiye, 25 - 26 Ağustos 2024, ss.308-313
Statistical analysis is an important tool for investigating the interactions between laser parameters and material properties during laser machining. In this study, surface hardness and surface roughness values of laser-machined 1.2379 cold work tool steel samples were determined using full factorial experimental design and ANOVA. The experimental design was conducted using a full factorial design with 4 factors and 3 levels. In the study, 4 different laser parameters, such as laser power, repetition rate, scan speed and line spacing, were used. ANOVA results showed that laser power was the parameter that affected the hardness the most with 48.96%, while scanning speed had an effect of 17.23%. Both factors were found to be statistically significant with p<0.05 values. Repetition rate and line spacing had minimal effects on hardness and were not statistically significant. The most important factor for surface roughness was scan speed, which contributed 44.24%, followed by laser power with 16.09%. The repetition rate had a small effect of 4.89%, while line spacing had no significant effect on roughness. These findings emphasize the importance of optimizing laser power and scanning speed to achieve the desired hardness and roughness levels in the surface machining of 1.2379 cold work tool steel. The study reveals the critical role of these parameters in the improvement of material properties by laser processing.