Representation of surface roughness in fused deposition modeling

Ahn, Daekeon; Kweon, Jin‐Hwe; Kwon, Soon Man; Song, Jung-Il; Lee, Seok-Hee

doi:10.1016/j.jmatprotec.2009.05.016

Cited by 358 publications

(217 citation statements)

References 12 publications

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“…Fundamentally, FDM 3D technology is mainly based on the layer manufacturing process [14] and the fundamental principle is quite straightforward [15]. The personal/desktop cost-effective FDM 3D is mostly a layer-by-layer (one layer at a time) or path-by-path (one path at a time) following thermoplastic filament material deposition process to build functional 3D parts according to generated section data from a prepared 3D CAD model.…”

Section: Modeling Of the Fdm 3d Surface Profilementioning

confidence: 99%

Surface Roughness Quality and Dimensional Accuracy—A Comprehensive Analysis of 100% Infill Printed Parts Fabricated by a Personal/Desktop Cost-Effective FDM 3D Printer

Alsoufi¹,

Elsayed²

2018

MSA

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Fused deposition modeling (FDM) has become widely used for personal/ desktop cost-effective printers. This work presents an investigational platform, which is used to study the surface roughness quality, and dimensional accuracy of 100% infill density printed parts fabricated by a personal/desktop cost-effective FDM 3D printer using different types of thermoplastic filament materials namely, PLA, PLA+, ABS and ABS+. Varieties of experiments were conducted after the fabricated parts were naturally cooled down for at least three hours to room temperature. During printing work, the nozzle diameter, layer height, nozzle temperature and printing speed were set at 0.3 mm, 0.1 mm, 220˚C and 30 mm/s, respectively. According to the experimentally obtained data results over 10 mm scanned profile and 90˚ measuring direction (perpendicular to building direction), PLA+ thermoplastic filament material shows an excellent surface behaviour and is found to be more accurate while ABS does exhibit high surface roughness, waviness and primary behaviour. Both PLA and ABS+ show good surface performance.

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Section: Modeling Of the Fdm 3d Surface Profilementioning

confidence: 99%

Surface Roughness Quality and Dimensional Accuracy—A Comprehensive Analysis of 100% Infill Printed Parts Fabricated by a Personal/Desktop Cost-Effective FDM 3D Printer

Alsoufi¹,

Elsayed²

2018

MSA

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“…The study of 3D surface topography obtained by FFF is a problem welladdressed in the literature. The most classical approximation consists in modeling the external surface as a juxtaposition of elliptical pipes (or tubes) [1]. The influence of scanning and deposition directions on external topography during filling has been studied in [2,3].…”

Section: Am Product Examplesmentioning

confidence: 99%

Multi-scale surface characterization in additive manufacturing using CT

Quinsat

Lartigue

Brown³

et al. 2016

Lecture Notes in Mechanical Engineering

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In additive manufacturing, the part geometry, including its internal structure, can be optimized to answer functional requirements by optimizing process parameters. This can be performed by linking process parameters to the resulting manufactured geometry. This paper deals with an original method for surface geometry characterization of printed parts (using Fused Filament Fabrication FFF) based on 3D Computer Tomography (CT) measurements. From 3D measured data, surface extraction is performed, giving a set of skin voxels corresponding to the internal and external part surface. A multi-scale analysis method is proposed to analyse the relative internal area of the total surface obtained at different scales (from sub-voxel to super-voxel scales) with different process parameters. This analysis turns out to be relevant for filling strategy discrimination.

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“…A study conducted by Thrimurthulu [6] et al aimed to obtain an optimum part deposition orientation by using a real coded genetic algorithm. Ahn [7,8] et al proposed a model to represent average roughness by assuming the filament profile as an elliptical curve, and regarded cross-sectional shape, surface angle, layer thickness and overlap between adjacent layers as the main factors affecting surface quality. An approach for adaptive slicing that applied the image processing technique to determine appropriate thickness and to recommend slicing positions on a 3D model was proposed, then it was implemented on the LabVIEW platform and compared with other approaches to reduce build time while maintaining surface quality [9] .…”

Section: Introductionmentioning

confidence: 99%

Surface polish of PLA parts in FDM using dichloromethane vapour

2017

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Abstract. Fused deposition modelling has become one of the most diffused rapid prototyping techniques, which is widely used to fabricate prototypes. However, further application of this technology is severely limited by poor surface roughness. Thus it is necessary to adopt some operations to improve surface quality. Chemical finishing is typically employed to finish parts in fused deposition modelling (FDM). The purpose of this paper is to decrease the surface roughness for polylactic acid (PLA) parts in FDM. The chemical reaction mechanism during the treating process is analysed. Then NaOH solution and dichloromethane vapour are used to treat FDM specimens respectively. A 3D laser microscope has been applied to assess the effects in terms of surface topography and roughness. The experimental results show that treatment using dichloromethane vapour performs much better than NaOH solution. Compared with the untreated group, surface roughness obtained through vapour treatment decreases by 88 per cent. This research has been conducted to provide a better method to treat PLA parts using chemical reagents.

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Representation of surface roughness in fused deposition modeling

Cited by 358 publications

References 12 publications

Surface Roughness Quality and Dimensional Accuracy—A Comprehensive Analysis of 100% Infill Printed Parts Fabricated by a Personal/Desktop Cost-Effective FDM 3D Printer

Surface Roughness Quality and Dimensional Accuracy—A Comprehensive Analysis of 100% Infill Printed Parts Fabricated by a Personal/Desktop Cost-Effective FDM 3D Printer

Multi-scale surface characterization in additive manufacturing using CT

Surface polish of PLA parts in FDM using dichloromethane vapour

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