Flexural behavior of 3D printed bio-inspired interlocking suture structures

Wickramasinghe, Sachini; Do, Truong Nhat Van; Tran, Phuong Ha-Lien

doi:10.18063/msam.v1i2.9

Cited by 8 publications

(5 citation statements)

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“…In MEX, the thermoplastic material is melted and extruded from a hot end to form a printed layer to produce the desired object [ 40 , 41 ]. Alsoufi et al [ 42 ] reported that the shape error of PLA was within 3.00% on each side of a 40 mm (L) × 40 mm (W) × 15 mm (H) specimen, which is excellent accuracy for PLA fabricated by MEX.…”

Section: Discussionmentioning

confidence: 99%

Accuracy of Dental Models Fabricated Using Recycled Poly-Lactic Acid

et al. 2023

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Based on the hypothesis that the fabrication of dental models using fused deposition modeling and poly-lactic acid (PLA), followed by recycling and reusing, would reduce industrial waste, we aimed to compare the accuracies of virgin and recycled PLA models. The PLA models were recycled using a crusher and a filament-manufacturing machine. Virgin PLA was labeled R, and the first, second, and third recycles were labeled R1, R2, and R3, respectively. To determine the accuracies of the virgin and reused PLA models, identical provisional crowns were fitted, and marginal fits were obtained using micro-computed tomography. A marginal fit of 120 µm was deemed acceptable based on previous literature. The mesial, distal, buccal, and palatal centers were set at M, D, B, and P, respectively. The mean value of each measurement point was considered as the result. When comparing the accuracies of R and R1, R2, and R3, significant differences were noted between R and R3 at B, R and R2, R3 at P, and R and R3 at D (p < 0.05). No significant difference was observed at M. This study demonstrates that PLA can be recycled only once owing to accuracy limitations.

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Section: Discussionmentioning

confidence: 99%

Accuracy of Dental Models Fabricated Using Recycled Poly-Lactic Acid

et al. 2023

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“…The machine was located in an industrial hall to prevent significant temperature changes (operation at room temperature), depending on the time of day and night. Referring to the 3D printing characterization found in [42,43], the most important process parameters considered in the current study are as follows: first, it should be noted that the slicer CURA 4.4.0, executed for its standard MEX technology settings regarding extrusion nozzle diameter, number of perimeter layers, and layer thickness, was used to generate G-code. Specifically, the gears were printed using a 0.4 mm nozzle diameter, with a 0.3 mm layer thickness, three outline perimeters, and a 100% infill density with the application of a linear pattern.…”

Section: Methodsmentioning

confidence: 99%

Wear Analysis of 3D-Printed Spur and Herringbone Gears Used in Automated Retail Kiosks Based on Computer Vision and Statistical Methods

et al. 2023

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This paper focuses on a wear evaluation conducted for prototype spur and herringbone gears made from PET-G filament using additive manufacturing. The main objective of this study is to verify if 3D-printed gears can be considered a reliable choice for long-term exploitation in selected mechanical systems, specifically automated retail kiosks. For this reason, two methods were applied, utilizing: (1) vision-based inspection of the gears’ cross-sectional geometry and (2) the statistical characterization of the selected kinematic parameters and torques generated by drives. The former method involves destructive testing and allows for identification of the gears’ operation-induced geometric shape evolution, whereas the latter method focuses on searching for nondestructive kinematic and torque-based indicators, which allow tracking of the wear. The novel contribution presented in this paper is the conceptual and experimental application of the identification of the changes of 3D-printed parts’ geometric properties resulting from wear. The inspected exploited and non-exploited 3D-printed parts underwent encasing in resin and a curing process, followed by cutting in a specific plane to reveal the desired shapes, before finally being subjected to a vision-based geometric characterization. The authors have experimentally demonstrated, in real industrial conditions, on batch production parts, the usefulness of the presented destructive testing technique providing valid indices for wear identification.

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“…This sets the basis for designing structures that are currently almost infeasible to produce with traditional manufacturing, for example seamless rings or structures with varying yarn geometry. Further, AM introduces the ability for production on demand, increases design flexibility and shortens the supply chain [6,17,22,23].…”

Section: Introductionmentioning

confidence: 99%