Experimental and Theoretical Investigation on Tensile Properties of Fused Deposition Modeling Prototypes of ABS-M30 using RSM and GA
摘要
This study examines the impact of Fused Deposition Modeling (FDM) tool path strategy on the mechanical performance of ABS-M30 printed parts. It focuses on the assessment of tensile properties of FDM prototypes using Response Surface Methodology (RSM) and Genetic Algorithm (GA). As the relationship between tensile property and FDM path generation parameters is critical to determine, an effort has been made to use RSM to derive an empirical model between the path generation parameters and tensile property. The path generation parameters are optimized through the Genetic Algorithm (GA) to improve of ABS-M30 prototypes. In this work, internal raster width, internal raster air gap, and outline counters of the FDM process are taken as path generation variables, and FDM specimen’s tensile strength is considered as a response parameter. The results show that large raster air gaps are undesirable because they produce long rasters, which raise stress accumulation along the deposition direction, leading to greater deformations and, ultimately, weak bonding. High temperatures caused by thick rasters close to the bonding surfaces may enhance diffusion and lead to the establishment of strong bonds. Also, increase in the number of outline counters increases the tensile strength even if the air gap increases because the number of outline counters is the most influential parameter. These results provide valuable insights for improving the mechanical performance of FDM-manufactured parts, enabling manufacturers to achieve stronger, more reliable components for applications in aerospace, automotive, and medical devices, where high tensile strength and structural integrity are critical.