An additive manufacturing benchmark artifact and deviation measurement method

Vorkapić, N.; Pjević, Miloš; Popović, Mihajlo; Slavković, Nikola; Živanović, Saša

doi:10.1007/s12206-020-0633-2

Cited by 16 publications

(3 citation statements)

References 22 publications

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“…Previous publications measured the dimensional accuracy of FLM with different samples using differing characteristics and sizes [16,[23][24][25][26][27][28][29]. In this paper, the dimensional accuracy was evaluated by the characteristic's linear accuracy in the X-, Y-and Z-directions, as well as the accuracy of the holes, roundings, cylinders, and wall thicknesses in the X-Y-orientation.…”

Section: Dimensional Accuracymentioning

confidence: 99%

Investigation of Part Quality Achieved by Material Extrusion Printers in Relation to Their Price

Schmidt,

Morlock,

Griesbaum

et al. 2023

JMMP

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Users of material extrusion printers are faced with a wide range of prices. It is unknown which printer price can achieve the required part quality. However, the price and the resulting quality of a printer are decisive factors for the process, especially at small- and medium-sized companies. This study investigated the correlation between the printer price and part quality based on dimensional accuracy, surface quality, strength, and visual appearance. In this paper, 14 printers with different prices were examined. The relationship of printer price and part defects, elongation at break, and the accuracy of roundings could be identified (the regressions achieved a p-value under 0.5 and an R2 over 0.4). A relationship with surface roughness, tensile strength, or other dimensional accuracy characteristics could not be found (the regressions achieved an R2 under 0.4 or anomalies could be detected in the regression analysis). In the performed investigations, more-expensive printers were not necessarily associated with an improvement in these quality characteristics. No relationship between the printer price and the standard deviation, e.g., less variation in part quality, could be identified. This paper provides valuable insights into the relationship of part quality and printer price. The performed research improved upon the existing literature in terms of the number of investigated printers, the observed price range, and the number of tested quality characteristics. The results and approach of this paper will help users select an appropriate printer, and the findings can be used in the sourcing and technology selection phases.

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Section: Dimensional Accuracymentioning

confidence: 99%

Investigation of Part Quality Achieved by Material Extrusion Printers in Relation to Their Price

Schmidt,

Morlock,

Griesbaum

et al. 2023

JMMP

View full text Add to dashboard Cite

show abstract

“…These parts are made up of a variety of features of different sizes to assess their manufacturability with the desired machine and parameters. For example, the benchmark part developed by Vorkapic et al (2020) is specifically designed for the Fused Deposition Modelling (FDM) process. Once printed, the part is then scanned and deviations from the based model are measured.…”

Section: Design For Am and Knowledge At Multiple Scalesmentioning

confidence: 99%

Feature-Based Method to Formalise Additive Manufacturing Related Data at the Mesoscale Based on a Mereotopological Description

et al. 2023

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Research on additive manufacturing has highlighted methods and guidelines to optimise the design process and improving finished product quality. There is still room for improvement in making AM as reliable as more traditional processes when considering industrial use. In terms of manufacturing, managing print parameters properly can improve reproducibility and repeatability of a part, in addition to its fidelity to the basic geometric model. However, a topological optimised geometry requires more than good parameterisation. Efforts are therefore being made to formalise knowledge so that it is explicit and accessible to designers. This paper proposes an approach based on the spatio-temporal evolution of a geometry during printing to quantify data at the meso scale. Previous studies have been conducted on the description of features in time, space and space-time, and on the influence of their arrangement within a part. Building on this work, a parameterised test specimen was designed to measure the quantitative impact of these arrangements on the final product. The method is then presented and illustrated through a case study to help the designer with quantitative predictive values of geometric parameters.

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“…Since the feed motion of a 3D printer is very similar to that of a machine tool, AM artifact design inherited traditional subtractive manufacturing methods by defining simple geometries. Vorkaipc [22] has verified the feasibility of adapting the method of error identification and compensation for subtractive manufacturing to additive manufacturing with a test artifact based on ISO IS 10791-7. Multi-body system theory and homogeneous transformation matrix (HTM) is commonly used to study the kinematic error propagation of machine tool [23,24], and it can also be applied to study the Cartesian 3D printer and determine the kinematic errors in the printing process.…”

Section: Introductionmentioning

confidence: 99%

An error identification and compensation method for Cartesian 3D printer based on specially designed test artifact

Li²,

Ding³

et al. 2023

Int J Adv Manuf Technol

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The printing accuracy is one of the most important metrics to evaluate the additive manufacturing (AM) machine. In this paper, an error identification and compensation method for Cartesian 3D printer is presented based on a specially-designed test artifact to improve printing accuracy. The relationship between the geometric errors of the printed object and the kinematic errors of the printer axes is established based on the theory of the multi-body system. A series of formulas are derived to separate the kinematic errors of each axis from the geometric errors. To extract the geometric errors required for the mathematical calculations, an artifact with the special features is proposed and printed. The geometric errors of the characteristic points on the artifact is measured by a coordinate measuring machine (CMM). From the measured geometric errors, kinematic errors of the printer can be identified, and can be further compensated by adjusting the CAD model of the object. Two compensated algorithms are established; one uses the fitted curves of the kinematic errors, and the other uses the average kinematic error values. Printing tests and case studies are performed to verify the effectiveness of the proposed method. The results show that the proposed method can improve printing accuracy of the Cartesian 3D printer.

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An additive manufacturing benchmark artifact and deviation measurement method

Cited by 16 publications

References 22 publications

Investigation of Part Quality Achieved by Material Extrusion Printers in Relation to Their Price

Investigation of Part Quality Achieved by Material Extrusion Printers in Relation to Their Price

Feature-Based Method to Formalise Additive Manufacturing Related Data at the Mesoscale Based on a Mereotopological Description

An error identification and compensation method for Cartesian 3D printer based on specially designed test artifact

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