Improving our knowledge of 3D printing models is essential to promoting wider adoption of the Fused Filament Fabrication (FFF) additive manufacturing technique. This will assist us in creating 3D printers that generate parts devoid of flaws, enhance their mechanical characteristics, and boost the machines' output rates. Additionally, we should look into applying 3D printing in new fields like the construction industry and leverage this technology in engineering education to reach a wider audience. To address these issues, we ran a number of experiments in this study. Our investigation into the computational elements of FFF presents mathematical models associated with various process parameters and draws attention to the constraints that affect the FFF additive manufacturing method's performance. Additionally, we created formulas for the FFF process's pinch wheel feed mechanism, liquefier, and nozzle shape, concentrating on independent factors like feed rate, liquefier temperature, and nozzle design. Additionally, we compared and analysed Cartesian, delta, and polar systems in order to analyse the performance of various gantry mechanisms. The results show that polar system-based 3D printers had the lowest build quality, whereas delta system-based printers provide better surface polish and dimensional accuracy than their polar and Cartesian counterparts. Notably, we observed significant improvements in students' learning, conceptual understanding, creativity, confidence, and design skills after incorporating 3D printing into their education.
Adeyemi et al. (Fri,) studied this question.