Comparison of Dimensional Accuracy and Surface Quality of 3D Printed Parts from Various Slicing Software and Infill Patterns
DOI:
https://doi.org/10.24191/scl.v18i4.9686Keywords:
Fused Filament Fabrication (FFF), Dimensional accuracy, Surface quality, Infill pattern, Slicing softwareAbstract
Fused Filament Fabrication (FFF) is a subcategory of Additive Manufacturing (AM). FFF is also widely used in 3D printing technology with the globally known AM. To accommodate the rapid growth, numerous research studies and developments have contributed to the significant achievement of FFF. For example, many slicing software applications are available to provide better-quality printed parts. The purpose of slicing software is to instruct the 3D printer to perform operations. Therefore, selecting the best slicing software among various options is crucial. In this article, a comparative study of dimensional accuracy and surface quality of 3D printed parts from various slicing software (Ultimaker Cura, PrusaSlicer, and CraftWare Pro) and infill patterns (line, grid, and gyroid) was conducted. Dimensional accuracy was measured based on the dimensional error recorded by the printed parts to the designed dimension. Meanwhile, the surface quality was measured based on the surface roughness value recorded from the printed parts. The lowest surface roughness was suggested as a better surface quality product. From the study conducted, it can be concluded that Ultimaker Cura produced better dimensional accuracy compared to PrusaSlicer and CraftWare Pro. In addition, the infill pattern did not affect the dimensional accuracy of the produced part. In contrast, the infill pattern affected the slicing software selection for surface quality. A line pattern using CraftWare Pro is recommended to produce better surface quality. Meanwhile, Ultimaker Cura is ideal for generating grid infill patterns, whereas PrusaSlicer is recommended for gyroid infill patterns.
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Copyright (c) 2025 Normariah Che Maideen, Koay Mei Hyie, Nor Azirah Mohd Fohimi, Nor Suhada Abdullah, Lyvanrick Slyvaris Jumly, Shuib Sahudin, Hamid Yusoff

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