2021
DOI: 10.1051/matecconf/202134308014
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Mechanical behavior of beams with variable stiffness obtained by 3D printing

Abstract: Additive manufacturing or 3D printing gained a widespread popularity in recent years due to the ability of the method to manufacture components with high geometrical complexity. The most cost-effective process to manufacture plastic parts using 3D printing is the fused deposition modeling (FDM) method. Process parameters as the infill rates but also the printed pattern of different layers and their orientation have a significant influence on the mechanical properties of specimens fabricated by FDM. Controlling… Show more

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Cited by 1 publication
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“…Therefore, the influence of printing parameters may be used to customize the mechanical properties of the printed components. FDM technique has the potential to produce parts with locally controlled properties [ 10 , 11 , 12 , 13 ] by changing the deposition density (infill ratio) and orientation (infill pattern).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, the influence of printing parameters may be used to customize the mechanical properties of the printed components. FDM technique has the potential to produce parts with locally controlled properties [ 10 , 11 , 12 , 13 ] by changing the deposition density (infill ratio) and orientation (infill pattern).…”
Section: Introductionmentioning
confidence: 99%
“…Strength, toughness, and geometric accuracy of the manufactured parts depend on various process parameters such as infill ratio, infill pattern, layer thickness, layer height and machine settings [ 14 , 15 , 16 , 17 , 18 ]. Using the optimum process-parameter settings can greatly improve the mechanical strength, surface quality and geometric accuracy by a considerable amount [ 10 , 15 , 19 , 20 , 21 , 22 ]. Modeling of parts by FDM technique implies also analytical models; some techniques being employed in the simulation models are presented in current work [ 23 , 24 ].…”
Section: Introductionmentioning
confidence: 99%