Abstract

The need for Fused Filament Fabrication (FFF) type 3D printers in additive manufacturing family is increasing day by day. In parallel to the accelerating developments in these devices, the technical difficulties and the cost of operation have started to decrease in time. There are numerous studies available in the way to enhance the mechanical properties of parts printed with these devices. However, the energy and the time management in the printing processes have also become a new focus of today's research for more eco-friendly operations. In this study, the amount of energy and the time consumed during the printing period are examined in detail. The experiments are planned in accordance with the Taguchi method for Design of Experiments. Signal-to-Noise Ratio and ANOVA analysis, which are widely accepted and powerful statistical tools in the field of experimental engineering, are used to interpret the results. It is observed that the parameters of platform temperature, the layer thickness, the printing speed and the nozzle temperature are the most influential process parameters on the required power and time respectively. The percentage contributions of these parameters to the process performance is also presented. Furthermore, the optimal combination of parameters with suitable levels were obtained in order to minimize both the power and the time requirement for printing processes. The statistical hypothesis are verified by the confirmatory experiments. As a result, the parameters that significantly reduce the amount of energy and processing time for the production of a part applicable to most printing processes are revealed.

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