Materials Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.


Additive manufacturing (AM) by Fused Deposition Modelling (FDM) provides an innovative manufacturing method for complex geometry components. 3D printers have become easily accessible to the public. The technology used by these 3D printers is Fused Deposition Modelling. The majority of these 3D printers mainly use acrylonitrile butadiene styrene (ABS) to fabricate 3D objects. This study aims to investigate the influence of some printing parameters like infill pattern (Tri-Hexagon, Zig - Zag, and Gyroid), infill density (25%, 50%, and 75%), and layer thickness (0.1, 0.2, and 0.3 mm) on the compressive strength of ABS materials. The design of the experiment was achieved by Taguchi method. A total of nine specimens were fabricated with different processing parameters using a commercial FDM 3D printer and then were tested according to the ASTM D695 standard. Findings presented in this research showed that the compressive strength of printed parts depends on the printing parameters employed. Analysis of variance revealed that the infill density is the most sensitive parameter among the three parameters examined. The optimal printing parameters were (0.3 mm 75 %, Gyroid) for improving compression strength according to signal-to-noise (S/N) ratio analysis. Experiment number (9) showed the highest compression strength with a value of 44.64 MPa.


  • Investigating the influence of printing parameters such as infill pattern (Tri-Hexagon, Zig - Zag, Gyroid), infill density (25%,50%,75%), and layer thickness (0.1,0.2,0.3 mm) on the compressive strength of 3D printed parts of acrylonitrile butadiene styrene ABS materials using fused deposition modeling (FDM) technology.
  • Nine specimens were fabricated with different processing parameters using a commercial FDM 3D printer and then were tested according to the ASTM D695 standard.
  • The dominant factor affecting on compressive strength is infill density whereas layer thickness has the least effect.


Main Subjects

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