Significant factors in the dimensional accuracy of fused deposition modelling

Pennington, Raymond C.; Hoekstra, Nicole; Newcomer, Jeffrey L.

doi:10.1243/095440805x6964

Cited by 62 publications

(31 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was observed that a dimensional error as low as 0.15% could be accomplished for FDM with the correct settings [13,[33][34][35][36][37][38][39][40], but this is highly dependent on the size of the samples in question; smaller samples showed a much higher error. In terms of raw dimensional error, most studies showed the capability to build parts with an error under 200µm regardless of the specimen size.…”

Section: Of 27mentioning

confidence: 99%

“…Previous FDM dimensional accuracy studies and design approaches [13,[27][28][29][30][31][32][33][34][35][36][37][38][39][40] have mainly focused on establishing the dimensional integrity of complex features; these are very useful studies for predicting the accuracy relative to process parameters and for one-off complex parts. However, as FDM begins to be a viable option for end-product manufacturing, a large dataset derived from relatively simple specimens is needed, one that can be used for statistical analysis in order to determine the expected accuracy and repeatability over a large number of parts.…”

Section: Overview and Experiments Considerationsmentioning

confidence: 99%

See 1 more Smart Citation

Full-Density Fused Deposition Modeling Dimensional Error as a Function of Raster Angle and Build Orientation: Large Dataset for Eleven Materials

Messimer¹,

Pereira²,

Patterson³

et al. 2018

Preprint

View full text Add to dashboard Cite

This report describes the collection of a large dataset (6930 measurement) on dimensional error in the fused deposition modeling (FDM) additive manufacturing process for full-density parts. Three different print orientations were studied, as well as seven raster angles (0 • , 15 • , 30 • , 45 • , 60 • , 75 • , and 90 • ) for the rectilinear infill pattern. All measurements were replicated ten times on ten different samples to ensure a comprehensive dataset. Eleven polymer materials were considered: acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), high-temperature PLA, wood-composite PLA, carbon-fiber-composite PLA, copper-composite PLA, aluminum-composite PLA, high-impact polystyrene (HIPS), polyethylene terephthalate glycol-enhanced (PETG), polycarbonate, and synthetic polyamide (nylon). The samples were ASTM-standard impact testing samples, since this geometry allows the measurement of error on three different scales; the nominal dimensions were 3.25mm thick, 63.5mm long, and 12.7mm wide. This dataset is intended to give engineers and product designers a benchmark for judging the accuracy and repeatability of the FDM process for use in manufacturing of end-user products. Dataset: Attached with manuscriptDataset License: CC-BY

show abstract

Section: Of 27mentioning

confidence: 99%

Section: Overview and Experiments Considerationsmentioning

confidence: 99%

Full-Density Fused Deposition Modeling Dimensional Error as a Function of Raster Angle and Build Orientation: Large Dataset for Eleven Materials

Messimer¹,

Pereira²,

Patterson³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…It was also revealed that to optimise accuracy in all Cartesian co-ordinates generally necessitates a compromise as optimising in a single direction negatively impacts on the others. Further, analysis of part accuracy by Pennington et al [14] highlighted that part position on the bed space, part size and temperature of the work area also contribute significantly to accuracy. To improve the accuracy of the printed part, Gregorian et al [15] found that the optimum shrinkage compensation factor to be applied to the manufacturing process was 1.007 for their particular machine.…”

Section: Related Workmentioning

confidence: 99%

Using finite element analysis to influence the infill design of fused deposition modelled parts

2017

View full text Add to dashboard Cite

Additive manufacturing (AM) has and continues to experience considerable market and technological growth with many forecasting a tripling in market value over the next decade. One of the primary drivers for this growth is the increased freedom afforded to the design of both the external form and internal structure of fabricated parts. This freedom presents greater opportunities in optimising a parts mechanical properties, (such as strength, stiffness and mass), which in turn leads to enhanced performance whilst potentially reducing material use and hence, environmental impact. Realising this potential will further increase the viability of AM for a greater range of engineering contexts. Correspondingly, the contribution of this paper lies in the creation and validation of a method for the topological optimisation of the infill structure of fused deposition modelled (FDM) components. The proposed method uses results attained from finite element analysis (FEA) to influence the design of the internal structure (i.e. infill) by locally varying the composition of the infill based upon the associated stress values. This paper presents and discusses the proposed method, and demonstrates the generalisability of the method through its ability to handle complex geometries and loading conditions, and manufacturing process constraints. In addition, the paper validates the method through testing of FDM beams comprised of FEA influenced and standard honeycomb infill designs undergoing four different loading scenarios. The validation reveals that a three and a half times increase in strength can be achieved where the stress profiles are well defined within the structure. In addition, the FEA-influenced beams exhibited more consistent failure mode profiles, which maybe desirable for designing parts with specific failure mode characteristics.

show abstract

“…Many researchers have undertaken studies on possibility of limiting the effect by software means and increase of product accuracy by appropriate modification of CAD model geometry [3] or optimization of product orientation in the working chamber [15]. However, in case of a complex shape, it is not possible to place a product in a way to minimize the effect on each wall.…”

Section: Theoretical Informationmentioning

confidence: 99%

Influence of Post-Processing on Accuracy of FDM Products

Kuczko¹,

Górski²,

Wichniarek³

et al. 2017

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

This paper presents the assessment of the rapid prototyping finishing techniques for printed components. The aim of the study was to compare the element printed with FDM technology before and after the treatment, using 3D scanning techniques. The object was scanned right after manufacturing, then it was subjected to finishing treatment and 3D-scanned again. The assessment of the results was performed using the GOM Inspect software, based on a comparison between scans and nominal model.

show abstract

Significant factors in the dimensional accuracy of fused deposition modelling

Cited by 62 publications

References 3 publications

Full-Density Fused Deposition Modeling Dimensional Error as a Function of Raster Angle and Build Orientation: Large Dataset for Eleven Materials

Full-Density Fused Deposition Modeling Dimensional Error as a Function of Raster Angle and Build Orientation: Large Dataset for Eleven Materials

Using finite element analysis to influence the infill design of fused deposition modelled parts

Influence of Post-Processing on Accuracy of FDM Products

Contact Info

Product

Resources

About