Akademik Veri Yönetim Sistemi
Ege 14th International Conference and Applied Sciences, İzmir, Türkiye, 23 - 29 Aralık 2025, ss.1-10, (Tam Metin Bildiri)
The aim of this study is to investigate the effect of critical manufacturing parameters on the surface roughness (Ra) values of Polyethylene Terephthalate Glycol (PETG) samples manufactured using Fused Deposition Modeling (FDM), one of the 3D printing methods, and to develop a mathematical model that predicts this relationship. Multiple nonlinear regression analysis was applied to a dataset created based on the variables of layer thickness (LT = 0.1–0.3 mm), printing speed (PS = 30–80 mm/s), and nozzle temperature (NT = 230–250°C). The analysis results revealed a statistically significant and strong relationship (R² = 0.992) between process parameters and surface roughness. According to the findings, the most dominant factor increasing surface roughness was determined to be layer thickness, followed by printing speed. Increasing nozzle temperature was found to improve surface quality. As a result of the study, an empirical prediction equation for Ra was derived. This robust model provides a practical contribution to parameter optimization necessary for achieving the desired surface quality in industrial applications. On the other hand, it is known that achieving better surface quality increases printing times. Thus, this study can also be considered a way to optimize printing time.