Development of a Precision Surface Polishing System for Parts Fabricated by Fused Deposition Modeling

Kuo, Chil-Chyuan; Mao, Rui-Cheng

doi:10.1080/10426914.2015.1090594

Cited by 77 publications

(33 citation statements)

References 25 publications

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“…Additionally, minimization of surface roughness of the ABS mold is desired, since the PDMS casting process faithfully reproduces even the most minute imperfections (e.g., build lines, surface pores, scratches), thus resulting in surface roughness in the final phantom that can decrease optical clarity and increase the potential for bead accumulation. While the protocol described herein has proven 28 or the optimization of layer thickness and part orientation with respect to the building direction)…”

Section: Discussionmentioning

confidence: 99%

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows <em>In Vitro</em>

Peck¹,

Bahena²,

Jahan³

et al. 2018

JoVE

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Particle image velocimetry (PIV) is used in a wide variety of fields, due to the opportunity it provides for precisely visualizing and quantifying flows across a large spatiotemporal range. However, its implementation typically requires the use of expensive and specialized instrumentation, which limits its broader utility. Moreover, within the field of bioengineering, in vitro flow visualization studies are also often further limited by the high cost of commercially sourced tissue phantoms that recapitulate desired anatomical structures, particularly for those that span the mesoscale regime (i.e., submillimeter to millimeter length scales). Herein, we present a simplified experimental protocol developed to address these limitations, the key elements of which include 1) a relatively low-cost method for fabricating mesoscale tissue phantoms using 3-D printing and silicone casting, and 2) an open-source image analysis and processing framework that reduces the demand upon the instrumentation for measuring mesoscale flows (i.e., velocities up to tens of millimeters/second). Collectively, this lowers the barrier to entry for nonexperts, by leveraging resources already at the disposal of many bioengineering researchers. We demonstratethe applicability of this protocol within the context of neurovascular flow characterization; however, it is expected to be relevant to a broader range of mesoscale applications in bioengineering and beyond.

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Section: Discussionmentioning

confidence: 99%

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows <em>In Vitro</em>

Peck¹,

Bahena²,

Jahan³

et al. 2018

JoVE

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“…On the contrary, plasma treated parts showed a surface electrical conductivity nearly three times These geometrical features can be appreciated in Figure 10, which shows representative optical micrographs of the top surface of treated parts at different magnifications. Related to the as printed part (Figure 10a,e), vapor polishing surfaces (Figure 10b,f) showed a continuous surface with slight differentiation of the printed lines [43]. Another representative issue of polishing, due to the low roughness, is that leads to transparency, thus making evident the presence of GNPs into the ABS matrix.…”

Section: Influence Of Surface Post Processing On the Electrical Condumentioning

confidence: 98%

Influence of Manufacturing Parameters and Post Processing on the Electrical Conductivity of Extrusion-Based 3D Printed Nanocomposite Parts

et al. 2020

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The influence of manufacturing parameters of filament extrusion and extrusion-based Additive Manufacturing (AM), as well as different post processing techniques, on the electrical conductivity of 3D printed parts of graphene nanoplatelets (GNP)-reinforced acrylonitrile butadiene styrene (ABS) has been analyzed. The key role of the manufacturing parameters to obtain electrically conductive filaments and 3D printed parts has been demonstrated. Results have shown that an increase in extrusion speed, as well as lower land lengths, induces higher extrudate swelling, with the consequent reduction of the electrical conductivity. Additionally, filaments with lower diameter values, which result in a higher surface-to-cross-section ratio, have considerably lower electrical conductivities. These factors tune the values of the volume and surface electrical conductivity between 10−4–100 S/m and 10−8–10−3 S/sq, respectively. The volume and surface electrical conductivity considerably diminished after 3D printing. They increased when using higher printing layer thickness and width and were ranging between 10−7–10−4 S/m and 10−8–10−5 S/sq, respectively. This is attributed to the higher cross section area of the individual printed lines. The effect of different post processing (acetone vapor polishing, plasma and neosanding, which is a novel finishing process) on 3D printed parts in morphology and surface electrical conductivity was also analyzed.

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“…[11] Moreover, some additional post finishing methods are sand blasting, vibratory bowl finishing, barrel tumbling, hot cutter machining, ball burnishing, and CNC machining. [6] Some chemical techniques involve vapor surface polishing, [12] manual painting, acetone dipping, vapor smoothing, and electroplating. [13] Using the chemical method the surface finish of the AM part has been found to be reduced between 2 µm and 9 µm.…”

Section: Introductionmentioning

confidence: 99%

Nanofinishing of FDM-fabricated components using ball end magnetorheological finishing process

Kumar¹,

Alam²,

Khan³

et al. 2018

Materials and Manufacturing Processes

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Fused deposition modeling (FDM) is among the extensively used and the most economical additive manufacturing processes. Currently, the surface finish obtained for FDM additive manufactured parts are not at par with the current industrial application. To overcome the limitation of high surface roughness of 3D printed parts, a novel finishing technique has been proposed which includes primary and secondary finishing processes. While facing and lapping has been used as primary finishing technique, the secondary finishing involves the use of ball end magnetorheological finishing (BEMRF) process. BEMRF process is an unconventional finishing process which utilizes an advanced approach to impart finish on magnetic as well as non-magnetic materials that may be flat or freeform in shape. This article presents the experimental and analytical study to finish a polylactic acid (PLA) workpiece material manufactured by FDM process and finished using the BEMRF technique. The surface roughness of the FDM component has been reduced from initial surface roughness Ra = 20 µm to final value of Ra = 81 nm by combined primary and secondary finishing processes. The effect of magnetorheological polishing (MRP) fluid's composition and finishing time is discussed and is followed by optimization of MRP fluid for maximum percentage reduction in surface roughness.

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Development of a Precision Surface Polishing System for Parts Fabricated by Fused Deposition Modeling

Cited by 77 publications

References 25 publications

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows <em>In Vitro</em>

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows <em>In Vitro</em>

Influence of Manufacturing Parameters and Post Processing on the Electrical Conductivity of Extrusion-Based 3D Printed Nanocomposite Parts

Nanofinishing of FDM-fabricated components using ball end magnetorheological finishing process

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