2023
DOI: 10.3390/polym15040845
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Energy Consumption vs. Tensile Strength of Poly[methyl methacrylate] in Material Extrusion 3D Printing: The Impact of Six Control Settings

Abstract: The energy efficiency of material extrusion additive manufacturing has a significant impact on the economics and environmental footprint of the process. Control parameters that ensure 3D-printed functional products of premium quality and mechanical strength are an established market-driven requirement. To accomplish multiple objectives is challenging, especially for multi-purpose industrial polymers, such as the Poly[methyl methacrylate]. The current paper explores the contribution of six generic control facto… Show more

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Cited by 18 publications
(24 citation statements)
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“…Figure 8d clearly illustrates that the fracture surface of the 30 wt% extruded filaments displays intense voids. This observation is consistent with conclusions drawn in earlier research 31,42,43 …”
Section: Resultssupporting
confidence: 94%
“…Figure 8d clearly illustrates that the fracture surface of the 30 wt% extruded filaments displays intense voids. This observation is consistent with conclusions drawn in earlier research 31,42,43 …”
Section: Resultssupporting
confidence: 94%
“…To select the input parameter levels, the specifications of the PEEK polymer provided in its datasheet and 3D printer specifications were also considered. Overall, these specific 3D printing parameters were considered in the study for the reasons explained above and additionally because they have not been tested yet for the PEEK polymer, and literature on energy consumption on 3D printed parts suggests that they significantly affect energy consumption [ [65] , [66] , [67] ].…”
Section: Methodsmentioning
confidence: 99%
“…The sampling method can be used to draw samples from the overall population for model prediction, and cover the whole experimental area with a reasonable number of samples. It is known from the literature that there are many different sampling methods, commonly used methods include stratified sampling, Taguchi sequential sampling, and random sampling [22,23]. Since a Taguchi orthogonal array is considered useful for studying when there are interactions between variables, results can be obtained by evaluating a small number of samples [24].…”
Section: Finite Element Modelmentioning
confidence: 99%