Modeling and statistical analysis of the compressive strength of samples produced by melt deposition modeling with fuzzy logic

In this study, the compressive strength of PLA and PETG filament materials manufactured using the fused deposition modelling (FDM) method, one of the additive manufacturing techniques, was investigated in relation to various processing parameters such as printing speed, infill density, and nozzle temperature. The aim of the study is to contribute to the limited body of research focusing on compressive strength in the existing literature and to thoroughly examine the effects of different processing parameters on this mechanical property. Experimental data obtained from varying parameters such as printing speed, infill density, and nozzle temperature were used to evaluate the factors influencing compressive strength, and a fuzzy logic model was developed to predict these effects. Additionally, the accuracy of the predictions was assessed using detailed statistical methods. In this context, analysis of variance (ANOVA) and regression analyses were performed to determine the significance of the effects of these parameters on compressive strength. The results showed that infill density was the most influential factor affecting compressive strength, while printing speed and nozzle temperature were found to have no statistically significant effect. For future studies, it is recommended to explore additional mechanical properties using the same filament materials and to investigate parameters such as layer thickness and infill pattern with different types of filaments.