A simplified benchmarking model for the assessment of dimensional accuracy in FDM processes

Decker, Nathan; Yee, Albert F.

doi:10.1504/ijrapidm.2015.073573

Cited by 13 publications

(7 citation statements)

References 5 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

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show abstract

“…The construction was based on reports from 10 years of experience in research and implementation of failed designs of 3D Life company [1], once more to examine marginal values of basic geometrical features, test surface roughness and dimensional accuracy, functionality and precise connectivity between the different detachable parts. Finally, the third benchmark (B3) is constructed using basic CSG operations and contains basic geometrical features from various models [6], [17], [13] supported walls of, embossed and engraved details of different w and h, to test, once more, surface roughness and dimensional accuracy.…”

Section: Geometric Primitives and Benchmarksmentioning

confidence: 99%

A Characterization of 3D Printability

Fudos

Ntousia

Stamati

et al. 2020

Cad'20

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Additive manufacturing technologies are positioned to provide an unprecedented innovative transformation in how products are designed and manufactured. Due to differences in the technical specifications of AM technologies, the final fabricated parts can vary significantly from the original CAD models, therefore raising issues regarding accuracy, surface finish, robustness, mechanical properties, functional and geometrical constraints. Various researchers have studied the correlation between AM technologies and design rules. In this work we propose a novel approach to assessing the capability of a 3D model to be printed successfully (a.k.a printability) on a specific AM machine. This is utilized by taking into consideration the model mesh complexity and certain part characteristics. A printability score is derived for a model in reference to a specific 3D printing technology, expressing the probability of obtaining a robust and accurate end result for 3D printing on a specific AM machine. The printability score can be used either to determine which 3D technology is more suitable for manufacturing a specific model or as a guide to redesign the model to ensure printability. We verify this framework by conducting 3D printing experiments for benchmark models which are printed on three AM machines employing different technologies: Fused Deposition Modeling (FDM), Binder Jetting (3DP), and Material Jetting (Polyjet).

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“…The first test part designed to evaluate both dimensional accuracy and build time with focus on FDM ® user's point of view was presented by Grimm [28]. Johnson et al [13] proposed a different benchmarking part to evaluate the capabilities of a CupCake ® CNC MakerBot in relation to geometric accuracy, followed by Decker and Yee [29], who also presented a new benchmarking design intended to facilitate the evaluation of dimensional accuracy.…”

Section: Benchmarking Models For Additive Technologiesmentioning

confidence: 99%

Selecting low-cost 3D printers using the AHP method: a case study

et al. 2019

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The purpose of this paper is to present a selection method based on analytic hierarchy process in the form of a case study, which benefits from quantitative data to assess the performance of low-cost 3D printers. The market of personal 3D printers has experienced a major boost in the last decade, with an apparently ever-increasing number of companies producing and selling machines. The huge variety of models available under $5000 has turned the selection of 3D printers into a complex task, often involving multiple questions. Many benchmarking parts have been proposed as a mean of comparing the performance of these machines in relation to geometric, mechanical and process aspects, with no consensus about the optimal model for every situation. Also, several decision-making methods mostly based on qualitative evaluation have been applied in order to rationalize the selection of such equipment. The evaluation metrics considered in the procedure were derived from a general goal, organized in a hierarchical structure and then compared according to the context of the research. A real application model, from an innovative project, was fabricated by three different machines and then evaluated regarding multiple criteria with distinct importance. The evaluation included surface roughness, dimensional and geometric accuracy, building time and material usage measurements. The case study shows a less subjective way to evaluate the performance of such machines, which can be easily implemented by the academic and 3D printing communities, considering different scenarios and even diverse technologies.

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A simplified benchmarking model for the assessment of dimensional accuracy in FDM processes

Cited by 13 publications

References 5 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

A Characterization of 3D Printability

Selecting low-cost 3D printers using the AHP method: a case study

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